System Architecture jobs in Lebanon

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a talented and motivated Python Developer to join our dynamic engineering team. As a key contributor, you will be responsible for designing, building, and maintaining efficient, reusable, and reliable Python code. If you are passionate about software development, enjoy solving complex problems, and thrive in a collaborative environment, we want to hear from you. Job Purpose The primary purpose of this role is to develop high-quality software solutions using Python, ensuring optimal performance, scalability, and reliability of our applications while collaborating with cross-functional teams to deliver on business objectives. Job Duties and Responsibilities Write and maintain clean, scalable Python code Develop and integrate RESTful APIs Collaborate with front-end developers to integrate user-facing elements Identify and fix bottlenecks and bugs Participate in code reviews and knowledge sharing Design and implement data storage solutions Write unit tests and ensure code quality Contribute to system architecture decisions</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Proficiency in Python programming</li><li>Experience with web frameworks (e.g., Django, Flask, FastAPI)</li><li>Understanding of RESTful API design</li><li>Knowledge of database systems (SQL and NoSQL)</li><li>Familiarity with version control (Git)</li><li>Strong problem-solving skills</li><li>Excellent communication and teamwork abilities</li><li>Experience with testing frameworks (e.g., PyTest, unittest)</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b><br></b></p><p><b>About the Role </b>Are you passionate about building modern, scalable data platforms that power business decisions and product innovation? As a Staff Data Engineer at Toters, you'll define the technical direction of our data platform while designing and building reliable, high-performance data infrastructure that scales with our business. You'll lead the architecture of our batch and streaming data ecosystem, establish engineering standards, and drive platform evolution across multiple teams. Working closely with Engineering Managers, Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll influence technical strategy, mentor engineers, and ensure our data platform remains scalable, reliable, and cost-efficient. This is a highly hands-on technical leadership role where you'll shape how data is ingested, processed, governed, and consumed across the organization.</p><p>In this role, you will:</p><ul><li>Define and drive the long-term technical vision and architecture for Toters' data platform.</li><li>Lead the design and implementation of scalable batch and streaming data platforms that support analytics, operational systems, and machine learning.</li><li>Design resilient, cloud-native data architectures capable of processing high-volume event streams and transactional workloads.</li><li>Establish engineering standards, architectural patterns, and best practices for data engineering across the organization.</li><li>Design scalable data models, schemas, and data contracts that enable long-term maintainability, governance, and interoperability.</li><li>Drive architectural decisions that improve scalability, reliability, security, observability, and operational efficiency across the platform.</li><li>Lead complex technical initiatives such as platform migrations, streaming modernization, lakehouse evolution, and data infrastructure improvements.</li><li>Evaluate new technologies and recommend pragmatic solutions that balance scalability, operational complexity, and cost.</li><li>Improve platform observability through monitoring, alerting, data quality validation, lineage, and operational dashboards.</li><li>Own the reliability of critical production data systems by leading incident response, root cause analysis, and long-term platform improvements.</li><li>Optimize cloud infrastructure, storage, compute, and streaming costs while maintaining high platform performance.</li><li>Partner with Engineering Managers, Product Managers, Analytics, Machine Learning, and Software Engineering teams to define platform capabilities and technical roadmaps.</li><li>Mentor Senior Data Engineers through architecture reviews, technical coaching, and engineering leadership.</li><li>Conduct high-quality code and design reviews that raise the technical bar across multiple teams.</li><li>Drive technical discussions, resolve complex engineering challenges, and influence cross-functional decision-making across the engineering organization.</li></ul><p>Why Toters?</p><ul><li>Flexible work environment with hybrid-friendly roles.</li><li>Opportunity to define and shape the future of Toters' modern data platform.</li><li>Lead high-impact technical initiatives that influence multiple engineering teams.</li><li>Solve complex engineering challenges involving distributed systems, streaming, and large-scale data processing.</li><li>Collaborate with talented engineers in a culture of mentorship, ownership, and continuous learning.</li><li>Direct impact on products used by thousands of customers every day.</li><li>Competitive compensation package.</li><li>Exclusive discounts on Toters orders.</li><li>First-class medical insurance.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>9+ years of experience designing and building large-scale production data platforms or distributed data systems.</li><li>Deep expertise in SQL and advanced data modeling, including dimensional modeling (facts and dimensions), schema design, and data architecture.</li><li>Expert-level experience building distributed streaming systems using Apache Kafka, Amazon Kinesis, Apache Pulsar, or equivalent technologies, with strong knowledge of partitioning, consumer groups, delivery semantics, schema management, and production troubleshooting.</li><li>Deep understanding of distributed systems, batch and streaming data processing, event time, processing time, windowing, stateful processing, fault tolerance, and the challenges of achieving exactly-once processing.</li><li>Strong programming skills in Python and/or JVM languages such as Java or Scala.</li><li>Extensive experience designing modern data lakehouse architectures using Amazon S3, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data platforms on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming services, IAM, networking, infrastructure security, and cloud cost optimization.</li><li>Hands-on experience with distributed processing technologies such as Apache Flink, ClickHouse, Trino, and similar analytical platforms.</li><li>Experience designing and implementing Change Data Capture (CDC) architectures using Debezium or similar technologies.</li><li>Experience with modern transformation frameworks such as dbt.</li><li>Strong experience with Infrastructure as Code using Terraform, containerization using Docker, and orchestration platforms such as Kubernetes.</li><li>Proven experience owning mission-critical production systems, leading incident response, and driving long-term platform reliability.</li><li>Demonstrated ability to define engineering standards, influence architectural decisions, and lead technical initiatives across multiple teams.</li><li>Excellent communication and technical writing skills, with the ability to document architecture, influence stakeholders, and mentor senior engineers.</li><li>Passion for building scalable, reliable, maintainable, and cost-efficient data platforms.</li><li>Nice to Have Experience designing enterprise-scale streaming architectures using Apache Flink.</li><li>Experience leading lakehouse migrations using Apache Iceberg or similar technologies.</li><li>Experience implementing large-scale CDC platforms using Debezium.</li><li>Experience building self-service data platforms and developer tooling.</li><li>Experience with ML Feature Stores, Customer Data Platforms (CDPs), or real-time personalization platforms.</li><li>Experience working in high-growth technology companies, marketplace platforms, or on-demand delivery businesses.</li><li>Experience contributing to open-source technologies or internal engineering frameworks.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a strategic, adaptable, and highly technical AI Lead to drive the design, architecture, and deployment of enterprise-grade AI solutions. The role bridges business objectives and deep technical execution, taking ownership of end-to-end AI initiatives while leading cross-functional teams and building scalable, production-ready systems in a dynamic environment.<br><br><br>The Key Responsibilities are:<br><br></span><ul><li>Strategic Roadmap Execution: Partner closely with Product leadership to translate complex business KPIs into concrete, actionable technical roadmaps.<br></li><li>Stakeholder Coordination: Act as the primary technical point of contact, organizing cross-functional alignments and managing seamless communication across diverse business stakeholders.<br></li><li>Team Mentorship: Direct and mentor cross-functional engineering and AI talent, establishing best practices across the machine learning lifecycle and fostering a culture of rapid experimentation.<br></li><li>Process Optimization: Establish organizational frameworks to navigate early-stage or unstandardized technical environments, turning ambiguity into structured, scalable engineering workflows.<br></li><li>Agentic AI Ecosystems: Direct the architecture and end-to-end development of custom Agentic AI ecosystems tailored for operational and executive workflows.<br></li><li>Advanced Orchestration: Implement advanced reasoning and decision-support systems, utilizing various orchestration frameworks to progress solutions from simple data retrieval to autonomous task execution.<br></li><li>Predictive &amp; Generative Modeling: Oversee the execution of high-performing models, including predictive forecasting architectures, Natural Language Processing (NLP), and Large Language Model (LLM) RAG infrastructures.<br></li><li>AI Democratization: Advocate for and deploy self-service AI and analytics tools (such as AWS Q or QuickSight) to empower non-technical teams, successfully mitigating data engineering bottlenecks.<br></li><li>End-to-End Lifecycle Management: Design, establish, and maintain standardized DataOps and MLOps production pipelines to streamline the machine learning lifecycle.<br></li><li>CI/CD/CT Automation: Formulate clear standards for continuous integration, continuous deployment, and automated retraining pipelines to accelerate experiment-to-deployment cycles while ensuring absolute reproducibility.<br></li><li>Cloud Architecture: Architect scalable, secure, and production-ready applications, primarily leveraging cloud ecosystems.<br></li></ul><br><br><span>Requirements</span><ul><li>A Bachelor’s, Master’s, or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative engineering field is required.<br></li><li>Minimum 8+ years of professional experience in machine learning, AI engineering, or related domains, including leadership experience.<br></li><li>Startup &amp; Immature Environment Exposure: Proven experience navigating an unstandardized or early-stage technical ecosystem, with a demonstrated ability to establish structure and drive operational maturity.<br></li><li>Leadership Experience: A robust background in technical leadership, team management, or directing cross-functional engineering pods.<br></li><li>Strong Coordination Skills: Exceptional organizational capabilities with a track record of coordinating and aligning priorities between business owners and technical teams.<br></li><li>ML &amp; MLOps Lifecycle Architecture: Deep expertise in core Machine Learning modeling and the end-to-end MLOps lifecycle, including CI/CD/CT pipelines and production deployment.<br></li><li>Predictive Modeling &amp; Statistical Inference: Advanced experience deploying classical machine learning architectures, including tree-based ensembles (e.g., XGBoost, Random Forest) for large-scale classification, regression, and predictive tasks.<br></li><li>Agentic Systems &amp; Vector Search: Hands-on experience designing agentic workflows using orchestration frameworks such as Amazon AgentCore and managing vector datasets with Amazon OpenSearch.<br></li><li>Enterprise Analytics &amp; Data Democratization: Strong experience leveraging BI tools such as Amazon QuickSight to enable self-service analytics across business functions.<br></li><li>Production Reliability &amp; Observability: Experience implementing production-grade monitoring, observability, and debugging tools (e.g., DataDog) for system uptime and data drift detection.<br></li><li>Cloud Infrastructure (AWS-Centric): Strong architectural knowledge of AWS ecosystems, with additional exposure to multi-cloud environments such as Microsoft Azure considered a plus.<br></li><li>Production Engineering Foundations: Solid experience building production-grade systems, including scalable data ingestion, containerization (Docker), and database engineering across SQL and NoSQL systems.<br></li><li>Work Schedule: Standard working hours aligned with business needs in Lebanon.<br></li><li>Excellent English communication skills.<br></li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Senior Backend / AI Engineer to design, develop, and scale robust backend systems while integrating advanced AI capabilities and agentic workflows. The role focuses on building high-performance distributed systems, enabling intelligent data processing, and leveraging modern AI tools to power innovative solutions.<br><br>The Key Responsibilities are:<br><br></span><ul><li>Design, develop, and maintain scalable backend services using Node.js and Express.<br></li><li>Architect and manage databases using MongoDB and Mongoose to ensure high availability and performance.<br></li><li>Build and optimize distributed job processing systems using BullMQ and Redis.<br></li><li>Develop and integrate AI-powered features using Anthropic Claude SDK and agentic workflows.<br></li><li>Implement vector search solutions using Pinecone to support intelligent data retrieval systems.<br></li><li>Collaborate with cross-functional teams to define system architecture and deliver end-to-end solutions.<br></li><li>Optimize backend performance, scalability, and reliability across distributed systems.<br></li><li>Ensure code quality through best practices, including testing, code reviews, and documentation.<br></li><li>Deploy and maintain backend services on GCP or similar cloud environments.<br></li><li>Troubleshoot and resolve complex technical issues in production environments.<br></li></ul><br><br><span>Requirements</span><ul><li>Bachelor’s degree in Computer Science, Software Engineering, or a related field.<br></li><li>Minimum of 5 years of experience in backend engineering.<br></li><li>Strong proficiency in Node.js and Express framework.<br></li><li>Solid experience with MongoDB and Mongoose.<br></li><li>Hands-on experience with Redis and job queue systems such as BullMQ or similar.<br></li><li>Experience working with AI/LLM integrations, including Anthropic Claude SDK or equivalent tools.<br></li><li>Knowledge of agentic workflows and building AI-driven applications.<br></li><li>Experience with vector databases and search technologies such as Pinecone.<br></li><li>Exposure to cloud platforms, preferably Google Cloud Platform (GCP).<br></li><li>Strong understanding of distributed systems and microservices architecture.<br></li><li>Excellent problem-solving and analytical skills.<br></li><li>Ability to work independently and collaboratively in a fast-paced environment.<br></li><li>Excellent English communication skills.<br></li></ul><b>This opportunity is remote for Egyptian applicants and Hybrid for Lebanese applicants.</b><br><br><b>​</b><br><br><br><i>We use Zoho Recruit and other AI tools to help review and organize job applications (for example, reading CVs, reorganizing, and extracting CV information). These tools are only used to assist our team.</i><br><i> No hiring decision is made solely by automated means; all applications are subject to human review and assessment.</i><br><br><br><b>​</b><br><br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Key ResponsibilitiesTechnical Presales Support Collaborate with sales teams to understand customer business and technical requirements in KSA and UAE Design and propose suitable technical solutions aligned with customer needs.<br> Prepare technical proposals, solution architectures, and statements of work.<br> Conduct product presentations, demonstrations, and proof-of-concept (POC) sessions.<br> Respond to RFPs, RFIs, and RFQs with technical and functional inputs.<br> Assist in effort estimation, BOM preparation, and solution sizing.<br> Customer Engagement Participate in customer meetings, workshops, and discovery sessions.<br> Explain technical concepts clearly to both technical and non-technical stakeholders.<br> Build trusted relationships with customers, partners, and internal teams.<br> Address customer technical concerns and provide recommendations.<br> Solution Design &amp; Documentation Prepare high-level and low-level solution designs when required.<br> Create architecture diagrams, implementation approaches, and integration workflows.<br> Ensure proposed solutions follow best practices, scalability, security, and compliance standards.<br> Collaboration Coordinate with engineering, delivery, product, and support teams.<br> Work closely with project managers and solution architects during transition to delivery.<br> Support continuous improvement of presales assets, templates, and demo environments.<br> Market &amp; Product Knowledge Stay updated on industry trends, competitor solutions, and emerging technologies.<br> Maintain strong understanding of company products, services, and capabilities.<br> Required Qualifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.<br> 3–6 years of experience in presales, solution engineering, systems engineering, or technical consulting.<br> Experience in preparing technical proposals and responding to RFPs.<br> Strong understanding of enterprise IT solutions, cloud technologies, integrations, and software architectures.<br> Excellent communication and presentation skills.<br> Ability to work in a fast-paced, customer-facing environment.<br> Preferred Skills Experience with cloud platforms such as Azure, AWS, or Google Cloud.<br> Knowledge of APIs, integrations, databases, and enterprise applications.<br> Familiarity with cybersecurity, infrastructure, data, or AI solutions is a plus.<br> Experience with diagramming and documentation tools (Visio, Draw.<br>io, etc.). Relevant technical certifications are advantageous.<br> Soft Skills Strong analytical and problem-solving abilities.<br> Customer-oriented mindset.<br> Strong teamwork and collaboration skills.<br> Ability to manage multiple opportunities simultaneously.<br> Good negotiation and stakeholder management skills.<br> KPIs / Success Metrics Quality and timeliness of technical proposals.<br> Win rate contribution.<br> Customer satisfaction during presales engagements.<br> Accuracy of solution sizing and estimations.<br> Number of successful demos and POCs delivered.<br></span> </div>

We are seeking an experienced Senior Backend / Platform Engineer to join a Swiss Company for its back office in Lebanon to play a critical role in building the architectural foundation of a next-generation multi-tenant digital banking platform. <br>The ideal candidate should meet the following requirements: <br>• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related discipline. <br>• Minimum 8 years of backend software engineering experience. <br>• At least 5 years of hands-on experience developing applications using Node.js, TypeScript, and NestJS (or similar enterprise frameworks). <br>• Proven experience designing and implementing large-scale multi-tenant SaaS platforms. <br>• Strong expertise in PostgreSQL, including Row-Level Security (RLS), schema design, indexing, query optimization, and performance tuning. <br>• Solid experience implementing OAuth2, OpenID Connect, JWT authentication, Single Sign-On (SSO), and Multi-Factor Authentication (MFA). <br>• Hands-on experience building and managing Docker-based applications and CI/CD pipelines. <br>• Strong understanding of cloud infrastructure, preferably Microsoft Azure. <br>• Extensive knowledge of secure software development practices, encryption technologies, secrets management, and API security. <br>• Proven experience integrating external APIs, including payment gateways, financial services, KYC providers, or similar enterprise integrations. <br>• Strong analytical thinking, problem-solving, and software architecture skills. <br>• Excellent communication skills and the ability to work collaboratively in cross-functional engineering teams. <br> <br>Preferred Qualifications <br>• Previous experience within FinTech, Digital Banking, Payments, or Banking-as-a-Service (BaaS). <br>• Experience with API Gateways, Service Meshes, Message Queues, and Event-Driven Architectures. <br>• Knowledge of distributed systems monitoring, observability, logging, and tracing. <br>• Experience participating in large-scale platform modernization or single-tenant to multi-tenant migrations. <br>• Working knowledge of React and Next.js sufficient to review frontend API contracts. <br>• Ability to understand and review software written in other programming languages such as Java, Kotlin, or C#. <br> <br>AI-Driven Engineering Experience <br>• Daily hands-on experience using AI coding assistants such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar platforms. <br>• Strong prompt engineering skills with the ability to produce accurate technical specifications for AI coding agents. <br>• Experience reviewing, validating, and improving AI-generated code. <br>• A deep understanding of where AI-generated code may introduce architectural, security, or scalability risks

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The IC will deliver a series of infrastructure, virtualization, and application support outputs over the course of the 6 month assignment. The required deliverables comprise: a complete Proxmox cluster optimization and high-availability (HA) baseline consisting of a health check, resource tuning, and failover configuration for production virtualization nodes; a storage expansion and virtual machine provisioning framework detailing the successful integration and masking of new LUNs alongside resource allocation strategies; and dedicated operational support for hosted applications, including resolution logs and step-by-step troubleshooting runbooks for on-premises, customer-facing platforms to minimize operational downtime. Furthermore, the IC will provide a legacy system assessment and modernization blueprint encompassing the technical solution designs and architecture roadmaps necessary to phase out outdated environments; implement a robust backup, recovery, and cluster monitoring stack that establishes automated VM backup/snapshot lifecycles and performance monitoring dashboards for compute, storage, and network layers; and conclude with a formal operational handover and technical documentation package consisting of full administration manuals, infrastructure topology diagrams, and a structured internal knowledge-transfer workshop for the team. Work Location Hybrid: UN-House/Remote Expected duration 6 months Duties and Responsibilities Background: The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council. This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge infrastructure, enterprise virtualization, and scalable technology frameworks to ensure high availability, security, and performance for critical digital assets. Its core functions include virtualization cluster management, storage provisioning, container orchestration, the administration of on-premises hosted applications for external partners, and the modernization of legacy enterprise systems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region. Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the development, virtualization, maintenance, and optimization of core infrastructure systems and architectures to support strategic initiative delivery. Duties and responsibilities: The Virtualization and Systems Administrator will perform the following tasks: System Administration: o Administer and maintain Proxmox virtualization clusters hosting production and development workloads. o Managed VM provisioning, cloning, snapshots, backups, and lifecycle operations. o Configured high availability (HA) and failover mechanisms for critical business applications. o Performed cluster monitoring, capacity planning, and resource optimization across compute and storage nodes. o Managed virtual networking, VLANs, bridges, and inter-VM connectivity. o Monitored cluster health, CPU, memory, storage, and network performance. o Diagnosed and resolved virtualization, storage, and networking issues impacting production services. o Tuned virtual machine resource allocations to improve performance and infrastructure efficiency. o Conducted regular maintenance, upgrades, and security patching of Proxmox nodes. o Administered Kubernetes clusters, including deployment, scaling, monitoring, and troubleshooting of containerized applications to ensure high availability and reliable service delivery. Storage Allocation &amp; Administration: o Conduct storage volume management tasks, introducing, configuring, and masking new LUNs from the storage networks to the virtualization clusters. o Optimize high-throughput storage paths and performance partitioning strategies to eliminate application latencies. On-Premises Application Support &amp; Maintenance: o Provide operational support for specialized on-premises applications hosted internally for external partners and customers. o Debug application layer issues, service disruptions, and database connectivity dropouts to maximize system uptime. o Manage containerized application stacks using Kubernetes, ensuring deployment, resource scaling, and service discovery remain active. Legacy Modernization &amp; Solution Creation: o Participate in technical solution designs targeted at upgrading, migrating, or completely replacing legacy enterprise environments. o Formulate infrastructure migration steps, system topology blueprints, and infrastructure-as-code runbooks to safely phase out outdated legacy platforms.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, System Administration, Statistics, Data Science, or related fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</li><li>Minimum 6 years of professional experience in designing and deploying data systems, data center virtualization, infrastructure management, with demonstrated consultancy or technical leadership roles is required.</li><li>Proven experience with cloud environments (Azure, AWS, or GCP), container orchestration (Kubernetes), DevOps automation, Proxmox VE (or equivalent enterprise hypervisors), virtual machine provisioning, cluster high-availability (HA), and network configuration (VLANs, bridges) is required.</li><li>Demonstrated experience in storage area network (SAN) administration, including the integration, masking, and management of new LUNs, is required.</li><li>Experience with infrastructure monitoring tools, and troubleshooting on-premises hosted applications is required.</li><li>Strong familiarity with legacy system migration strategies, infrastructure modernization planning, and disaster recovery execution is desirable.</li><li>Excellent analytical, problem-solving, and communication skills is required.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Noema Consulting Noema stands as a reliable partner, delivering cutting-edge IT solutions and outstanding service to organizations across diverse industries, with a special emphasis on banking.<br> Leveraging deep expertise in digital transformation, data analytics &amp; AI, SAP solutions, and quality assurance &amp; support, Noema empowers clients to streamline processes, make smarter decisions, and drive sustainable business growth at an accelerated pace.<br> The role: The Senior Frontend Software Engineer designs, builds, and maintains complex, high-quality web applications, working closely with cross-functional teams to deliver exceptional user experiences.<br> The role also involves contributing to key architectural decisions, leading technical initiatives, and mentoring junior team members to drive excellence across the front-end development process.<br> Key Responsibilities: Design, develop, and maintain responsive and user-friendly web applications using modern JavaScript frameworks (React).<br> Lead the design of frontend architecture, ensuring scalability, maintainability, and high performance while following best practices and industry standards.<br> Collaborate closely with product managers, UX/UI designers, and backend developers to translate business requirements into technical solutions.<br> Conduct code reviews to maintain high code quality, consistency, and adherence to development standards.<br> Mentor junior developers and provide guidance on best practices, problem-solving, and professional development.<br> Optimize applications for maximum speed, performance, and scalability across devices and browsers.<br> Develop and maintain unit and integration tests and troubleshoot issues when they arise.<br> Stay up to date with emerging front-end technologies, tools, and trends to continuously improve development practices.<br> Work with design systems and component libraries to ensure consistency and reusability across projects.<br> Participate actively in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.<br> A fully remote work environment.<br> The opportunity to contribute to international projects for global clients.<br> A collaborative, multicultural team setting.<br> The chance to take ownership and make a real impact.<br> Exposure to experienced professionals and high-quality delivery standards.<br> A culture built on collaboration, professionalism, and continuous improvement.<br> This opportunity is managed by Noema Consulting.<br> HumanI is hosting this job listing on behalf of Noema Consulting.<br> By submitting your application, you acknowledge that your CV and the personal information you provide will be shared with and processed by Noema Consulting’s Talent Acquisition Team for recruitment purposes related to this opportunity.<br> Your application will be handled in accordance with applicable data protection and privacy laws.<br> Experience: 5+ years in front-end development, delivering complex and scalable web applications.<br> Strong background in designing, building, and maintaining modern web solutions with a strong user experience focus.<br> Experience contributing to front-end architecture decisions around scalability, maintainability, and performance.<br> Involvement in translating requirements into technical solutions in collaboration with product, design, and backend teams.<br> Experience conducting code reviews and supporting engineering quality across the codebase.<br> Educational Background: Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.<br> Key Competencies: Strong frontend expertise in React, core frontend technologies, state management, tooling, and build systems.<br> Ability to build scalable, maintainable, high-performing, and user-focused web applications.<br> Solid knowledge of responsive development, API integration, testing, performance, SEO, accessibility, and reliability.<br> Experience with design systems, reusable components, and component libraries.<br> Strong analytical thinking, problem-solving, and ability to translate requirements into technical solutions.<br> Ownership, accountability, reliability, and commitment to high-quality delivery.<br> Clear communication and effective collaboration with product, design, backend, and cross-functional teams.<br> Agile mindset, technical guidance, code review, and knowledge sharing.<br> Continuous improvement mindset with focus on code quality, performance, and team practices.<br> Digital mindset, openness to AI tools, remote collaboration, self-management, and global/cultural awareness.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Senior Staff / Lead Firmware Engineer to help scale the next generation of our market-leading embedded printing solutions. This role focuses on architecting and developing new firmware platforms from the ground up while working closely with cross-functional engineering teams to deliver high-performance, reliable, and scalable products across multiple device categories.<br><br>The Key Responsibilities are:<br><br></span><ul><li>Develop robust, real-time embedded software architectures from the ground up.<br></li><li>Design and implement firmware platforms for high-performance tabletop systems, specialized care-label fabric printers, and ultra-mobile handheld devices.<br></li><li>Develop low-level drivers and control algorithms for critical printing peripherals, including stepper and DC motors, thermal print heads, and print engines.<br></li><li>Design and implement telemetry, logging, and remote monitoring frameworks to track device health and diagnose field issues.<br></li><li>Participate in rapid prototyping initiatives to validate new product concepts, features, and hardware components.<br></li><li>Validate and troubleshoot complex system-level issues in the lab using oscilloscopes, logic analyzers, JTAG debuggers, and protocol analyzers.<br></li><li>Collaborate closely with electrical and mechanical engineering teams to translate electro-mechanical requirements into robust firmware solutions.<br></li></ul><br><br><span>Requirements</span><ul><li>Bachelor’s degree in Computer Science, Software Engineering, or a related field.<br></li><li>7+ years of experience in embedded systems development with expert-level proficiency in C language.<br></li><li>Proven experience architecting and developing systems using Real-Time Operating Systems such as FreeRTOS.<br></li><li>Strong understanding of embedded communication protocols including BLE, Wi-Fi, USB, UART, SPI, and I2C.<br></li><li>Hands-on experience driving physical peripherals such as motors, thermal components, and sensors.<br></li><li>Strong hardware debugging skills with the ability to read schematics and use standard lab equipment including oscilloscopes and logic analyzers.<br></li><li>Proven track record of delivering commercialized, mass-produced embedded devices.<br></li><li>FPGA design and development experience using Verilog or VHDL is a plus.<br></li><li>Previous experience developing printers is highly desirable.<br></li><li>Experience developing RFID encoders or readers is considered an advantage.<br></li><li>Experience working with INTEGRITY OS is a plus.<br></li><li>Excellent English communication skills.<br></li><li>Ability to collaborate effectively in cross-functional and multidisciplinary teams.<br></li></ul><b>This opportunity is Hybrid for Lebanese applicants.</b><br><br><br><br> </div>

We are seeking to hire three experienced Network Engineer responsible for managing PPPoE subscriber environments, supporting reseller integrations, and maintaining MikroTik-based access networks. The engineer will work closely with resellers using proradius platform, ensuring stable onboarding, configuration, and operation of PPPoE users across multiple network architectures. <br> <br>Location: Head Office - Sin el Fil <br> <br>We offer excellent work environment, excellent compensation, insurance from top international insurer, etc. <br> <br>Key Responsibilities <br>• Managing and supporting PPPoE subscriber environments. <br>• Configuring and maintaining MikroTik CCR routers used by resellers. <br>• Assisting resellers in deploying and troubleshooting PPPoE infrastructure. <br>• Supporting reseller onboarding on our RADIUS platform (ProRadius). <br>• Monitoring and troubleshooting subscriber connectivity issues. <br>• Working with reseller network architectures <br>• Maintaining documentation and standard configuration templates. <br> <br>Required Technical Skills <br>• Strong understanding of PPPoE architecture and subscriber management. <br>• Experience with MikroTik RouterOS, especially CCR/CRS/CSS series. <br>• Knowledge of VLANs, bridging, NAT, QoS basics, and routing fundamentals. <br>• Understanding of ISP reseller environments. <br>• Experience troubleshooting CPE connectivity and last-mile networks. <br>• Ability to analyze and optimize subscriber traffic flows. <br>• Working knowledge of RADIUS concepts. <br>• Familiarity with ProRadius or similar billing/authentication systems. <br>• Basic knowledge of Linux environments. <br>• Exposure to accel-ppp or similar PPPoE server platforms is a strong advantage

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The IC will deliver a series of infrastructure, virtualization, and application support outputs over the course of the 6 month assignment. The required deliverables comprise: a complete Proxmox cluster optimization and high-availability (HA) baseline consisting of a health check, resource tuning, and failover configuration for production virtualization nodes; a storage expansion and virtual machine provisioning framework detailing the successful integration and masking of new LUNs alongside resource allocation strategies; and dedicated operational support for hosted applications, including resolution logs and step-by-step troubleshooting runbooks for on-premises, customer-facing platforms to minimize operational downtime. Furthermore, the IC will provide a legacy system assessment and modernization blueprint encompassing the technical solution designs and architecture roadmaps necessary to phase out outdated environments; implement a robust backup, recovery, and cluster monitoring stack that establishes automated VM backup/snapshot lifecycles and performance monitoring dashboards for compute, storage, and network layers; and conclude with a formal operational handover and technical documentation package consisting of full administration manuals, infrastructure topology diagrams, and a structured internal knowledge-transfer workshop for the team.<br> Work Location<br>Hybrid: UN-House/Remote<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>Background: The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council. This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge infrastructure, enterprise virtualization, and scalable technology frameworks to ensure high availability, security, and performance for critical digital assets. Its core functions include virtualization cluster management, storage provisioning, container orchestration, the administration of on-premises hosted applications for external partners, and the modernization of legacy enterprise systems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region. Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the development, virtualization, maintenance, and optimization of core infrastructure systems and architectures to support strategic initiative delivery. Duties and responsibilities: The Virtualization and Systems Administrator will perform the following tasks: System Administration: o Administer and maintain Proxmox virtualization clusters hosting production and development workloads. o Managed VM provisioning, cloning, snapshots, backups, and lifecycle operations. o Configured high availability (HA) and failover mechanisms for critical business applications. o Performed cluster monitoring, capacity planning, and resource optimization across compute and storage nodes. o Managed virtual networking, VLANs, bridges, and inter-VM connectivity. o Monitored cluster health, CPU, memory, storage, and network performance. o Diagnosed and resolved virtualization, storage, and networking issues impacting production services. o Tuned virtual machine resource allocations to improve performance and infrastructure efficiency. o Conducted regular maintenance, upgrades, and security patching of Proxmox nodes. o Administered Kubernetes clusters, including deployment, scaling, monitoring, and troubleshooting of containerized applications to ensure high availability and reliable service delivery. Storage Allocation &amp; Administration: o Conduct storage volume management tasks, introducing, configuring, and masking new LUNs from the storage networks to the virtualization clusters. o Optimize high-throughput storage paths and performance partitioning strategies to eliminate application latencies. On-Premises Application Support &amp; Maintenance: o Provide operational support for specialized on-premises applications hosted internally for external partners and customers. o Debug application layer issues, service disruptions, and database connectivity dropouts to maximize system uptime. o Manage containerized application stacks using Kubernetes, ensuring deployment, resource scaling, and service discovery remain active. Legacy Modernization &amp; Solution Creation: o Participate in technical solution designs targeted at upgrading, migrating, or completely replacing legacy enterprise environments. o Formulate infrastructure migration steps, system topology blueprints, and infrastructure-as-code runbooks to safely phase out outdated legacy platforms.<br> Qualifications/special skills<br>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, System Administration, Statistics, Data Science, or related fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. Minimum 6 years of professional experience in designing and deploying data systems, data center virtualization, infrastructure management, with demonstrated consultancy or technical leadership roles is required. Proven experience with cloud environments (Azure, AWS, or GCP), container orchestration (Kubernetes), DevOps automation, Proxmox VE (or equivalent enterprise hypervisors), virtual machine provisioning, cluster high-availability (HA), and network configuration (VLANs, bridges) is required. Demonstrated experience in storage area network (SAN) administration, including the integration, masking, and management of new LUNs, is required. Experience with infrastructure monitoring tools, and troubleshooting on-premises hosted applications is required. Strong familiarity with legacy system migration strategies, infrastructure modernization planning, and disaster recovery execution is desirable. Excellent analytical, problem-solving, and communication skills is required.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The IC is to provide specialized technical expertise in the implementation, administration, monitoring, and optimization of cloud infrastructure and DevOps platforms within Microsoft Azure. The IC will be responsible for ensuring the availability, security, scalability, and performance of enterprise systems, managing CI/CD pipelines, and writing Infrastructure as Code (IaC). Crucially, the IC will work in close coordination with the internal development team to analyze existing on-premises application architectures, gather deployment requirements, and translate current on-premises VM resource metrics into optimized, cloud-native Azure resource allocations. The consultant will also execute the tactical technical migration of legacy systems from an on-premises Proxmox virtualization environment to the Microsoft Azure cloud platform.</p><p><strong>Work Location</strong> UN-House ESCWA / Hybrid</p><p><strong>Expected duration</strong> 6 months</p><p><strong>Duties and Responsibilities</strong></p><p><strong>Background:</strong> The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council.</p><p>This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge hybrid infrastructure, scalable cloud tech frameworks, and modern deployment models to ensure high availability, security, and performance for critical digital assets. Its core functions include enterprise cloud environment management, infrastructure automation, continuous integration and continuous deployment (CI/CD) optimization, and the migration of legacy on-premises platforms to advanced public cloud ecosystems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region.</p><p>Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the implementation, automation, secure hosting, and optimization of core cloud systems and scalable technology environments to support strategic initiative delivery.</p><p><strong>Duties and responsibilities:</strong> The Cloud Systems and DevOps Analyst will perform the following tasks:</p><ul><li><strong>Cloud Infrastructure Implementation &amp; Administration:</strong><ul><li>Deploy, manage, and optimize enterprise-scale cloud resources within Microsoft Azure, ensuring optimal performance, governance, and resource utilization.</li><li>Administer hybrid virtualization architectures, transitioning existing virtual machines and workloads out of the on-premises Proxmox environment into designated Azure landing zones.</li><li>Maintain and configure base operating systems across enterprise Windows Server and Linux environments hosted in the cloud.</li></ul></li><li><strong>DevOps Platform Engineering &amp; Infrastructure as Code (IaC):</strong><ul><li>Design, build, and maintain automated CI/CD pipelines using Azure DevOps to support rapid, secure, and reliable software delivery cycles.</li><li>Author, review, and maintain infrastructure state using Infrastructure as Code tools, specifically Terraform, Bicep, and ARM Templates.</li><li>Develop automated operational scripts utilizing PowerShell to streamline recurring system administration and provisioning tasks.</li></ul></li><li><strong>Application Lifecycle &amp; Developer Collaboration:</strong><ul><li>Work closely with the development team to audit existing on-premises hosted applications and gather technical requirements for upcoming Azure cloud deployments.</li><li>Analyze the resource utilization and architectural dependencies of applications currently running on on-premises virtual machines to determine the optimal Azure cloud topology.</li><li>Evaluate and recommend whether applications should be migrated as traditional Infrastructure-as-a-Service (IaaS) virtual machines or refactored into cloud-native Azure resources (such as App Services, Azure SQL, or container instances) to maximize scalability and cost-efficiency.</li><li>Provide technical guidance to developers regarding cloud deployment pathways, access control configurations, and performance optimization on Azure.</li></ul></li><li><strong>Cloud Security, Identity, &amp; Monitoring:</strong><ul><li>Manage cloud governance, object lifecycles, and secure identity mapping through Azure Active Directory (Azure AD / Entra ID).</li><li>Configure comprehensive observability setups using Azure Monitor and Log Analytics to establish proactive system alerts, log analysis, and performance tracking.</li><li>Implement infrastructure hardening, security controls, and operational best practices across all deployed cloud frameworks.</li></ul></li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, Cloud Engineering, System Administration, or related technical fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</li><li>A minimum of 5 years of professional experience in system administration, IT infrastructure operations, or cloud platforms architecture is required.</li><li>Demonstrated hands-on experience deploying, administering, and monitoring production cloud environments using Microsoft Azure is required.</li><li>Proven experience building automated CI/CD pipelines and developing infrastructure deployments utilizing Infrastructure as Code tools (Terraform, Bicep, or ARM Templates) is required.</li><li>Proven experience collaborating directly with software development teams to extract application performance metrics, translate software requirements into infrastructure specifications, and plan application modernization strategies is required.</li><li>Solid technical proficiency in scripting with PowerShell and configuring core infrastructure services, including Windows Server, Linux, and Azure Active Directory, is required.</li><li>Excellent analytical, problem-solving, and communication skills are required.</li><li>Practical technical experience supporting or executing system migrations from on-premises hypervisors (specifically Proxmox VE or VMware) to public cloud environments (Microsoft Azure) is highly desirable.</li><li>Official Microsoft certifications (e.g., Azure Administrator Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert) are highly desirable.</li><li>Fluency in English is required and knowledge of Arabic is desirable.</li></ul><p></p></section>

The AI Platform Engineer is responsible for designing, building, deploying, and maintaining the infrastructure, platforms, and applications that support the organization's AI initiatives. The role focuses on developing AI-enabled solutions, AI agents, and Model Context Protocols (MCPs), while ensuring scalable, secure, and reliable deployment environments. The AI Platform Engineer works closely with the AI Transformation team, business stakeholders, and ICT teams to deliver innovative AI solutions that drive operational efficiency and business value. <br> <br>Duties & Responsibilities <br>A. AI Platform & Infrastructure Management <br>• Build, configure, and maintain AI development, testing, and production environments. <br>• Manage AI infrastructure components to ensure scalability, performance, reliability, and security. <br>• Support the deployment and operation of AI models, services, and applications across cloud and on-premises environments. <br>• Monitor platform performance and implement improvements to optimize availability and efficiency. <br>• Troubleshoot infrastructure, deployment, and integration issues related to AI solutions. <br> <br>B. AI Solutions Development <br>• Design and develop AI-powered applications, tools, and services to support business requirements. <br>• Build and maintain AI agents, MCPs (Model Context Protocols), and workflow automation solutions. <br>• Integrate Large Language Models (LLMs) and other AI technologies into enterprise applications. <br>• Develop APIs and backend services to support AI capabilities and system integrations. <br>• Contribute to the evaluation and adoption of emerging AI technologies and frameworks. <br> <br>C. Full-Stack Application Development <br>• Develop and maintain front-end interfaces for AI-powered applications and platforms. <br>• Design and implement scalable backend services, APIs, and integration components. <br>• Ensure applications are secure, maintainable, and aligned with development standards. <br>• Participate in application testing, debugging, performance tuning, and optimization activities. <br> <br>D. Cloud & DevOps Operations <br>• Deploy and manage AI applications and services on Microsoft Azure. <br>• Support CI/CD pipelines and deployment automation for AI and software development projects. <br>• Manage cloud resources and environments to ensure efficient utilization and cost optimization. <br>• Implement monitoring, logging, and operational support processes for deployed solutions. <br>• Ensure adherence to security, governance, and infrastructure best practices. <br>E. Collaboration & Innovation <br>• Collaborate with AI engineers, data scientists, software developers, and business stakeholders to deliver AI initiatives. <br>• Participate in solution design sessions and contribute technical recommendations. <br>• Document technical architectures, deployment procedures, and development standards. <br>• Stay current with advances in AI, cloud technologies, development frameworks, and industry best practices. <br>• Support experimentation, prototyping, and innovation activities within the AI Transformation Department. <br> <br> <br>Skills/Qualifications <br>Education <br>• Bachelor's degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, or a related field. <br> <br>Experience / Knowledge <br>• 3–5 years of experience in software engineering, platform engineering, AI engineering, or related technical roles. <br>• Experience building and deploying applications in cloud environments, preferably Microsoft Azure. <br>• Hands-on experience developing AI-enabled applications, AI agents, and MCP-based solutions. <br>• Strong knowledge of modern AI frameworks, tools, and LLM ecosystems. <br>• Experience with API development, system integrations, and microservices architecture. <br>• Familiarity with containerization technologies and deployment automation tools is an advantage. <br>• Experience working with Linux environments is preferred. <br> <br>Technical Skills <br>• Proficiency in front-end and back-end development technologies. <br>• Strong programming skills in languages such as Python, JavaScript/TypeScript, or similar. <br>• Experience with Azure services, cloud deployment, and infrastructure management. <br>• Knowledge of REST APIs, databases, authentication mechanisms, and application security. <br>• Understanding of DevOps practices, CI/CD pipelines, and version control systems. <br> <br>Competencies <br>• Strong analytical and problem-solving skills. <br>• Ability to work independently and manage multiple priorities. <br>• Strong communication and collaboration abilities. <br>• Continuous learning mindset with a passion for emerging AI technologies. <br>• Attention to detail and commitment to delivering high-quality solutions. <br>• Ability to operate effectively in a fast-paced, innovation-driven environment

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Developer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About the job: This role sits at the center of that buildout.<br> You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming.<br> We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.<br> Key Responsibilities Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.<br> Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.<br> Help improve the external MCP connector schema, authentication, capability surface.<br> Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.<br> Build the token metering and usage tracking layer per-feature, per-customer, per-tier.<br> Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.<br> Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.<br> Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.<br> Stay current on the AI tooling landscape and bring concrete recommendations to the team.<br> AI Product Development Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.<br> Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.<br> Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.<br> Experience building quality evaluation and output validation frameworks around AI features.<br> Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.<br> Platform &amp; Architecture Thinking Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.<br> Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.<br> Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.<br> Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.<br> Core Stack React and Node: able to build frontend components that surface AI features, including data visualizations.<br> Solid PHP development experience — comfortable extending a production codebase, not just greenfield.<br> MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.<br> Typescript: used on the backend of the MCP layerBachelor’s degree in computer science, Information Systems, Engineering or a related field.<br> 3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.<br> Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.<br> Strong presentation, communication, and stakeholder management skills.<br> Experience working directly with customers and senior business stakeholders.<br> Excellent problem-solving and analytical skills.<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p><p>This role sits at the center of that buildout. You'll ship near-term product features while helping us make the right architectural decisions for what's coming. We need someone who can execute and see around corners someone who understands both the product experience and the platform mechanics underneath it.</p><p>Key Responsibilities</p><ul><li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li><li>Extend Astro Core chatbot capabilities new read/write actions, graph generation, analysis outputs.</li><li>Help improve the external MCP connector schema, authentication, capability surface.</li><li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li><li>Build the token metering and usage tracking layer per-feature, per-customer, per-tier.</li><li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li><li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li><li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li><li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li></ul><p>AI Product Development</p><ul><li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li><li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li><li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li><li>Experience building quality evaluation and output validation frameworks around AI features.</li><li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li></ul><p>Platform &amp; Architecture Thinking</p><ul><li>Experience designing or contributing to metered usage systems API rate limiting, consumption tracking, billing integration.</li><li>Familiarity with designing MCP (Model Context Protocol) understanding of how LLM-native integrations differ from traditional REST.</li><li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li><li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li></ul><p>Core Stack</p><ul><li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li><li>Solid PHP development experience comfortable extending a production codebase, not just greenfield.</li><li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li><li>Typescript: used on the backend of the MCP layer</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in computer science, Information Systems, Engineering or a related field.</li><li>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</li><li>Strong understanding of Artificial Intelligence, Machine Learning, Generative AI, and automation concepts.</li><li>Strong presentation, communication, and stakeholder management skills.</li><li>Experience working directly with customers and senior business stakeholders.</li><li>Excellent problem-solving and analytical skills.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI Automation Engineer to join our team in Lebanon.<br> Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals.<br> By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.<br> About theAI-Driven Automation Design and implement AI-powered automation workflows for development, testing, and operations.<br> Develop and maintain AI-assisted testing systems, including test generation, failure analysis, and intelligent test selection.<br> Build and orchestrate agent-based automation tools for operational and engineering tasks.<br> Test Automation &amp; Quality Engineering Develop and maintain automated test frameworks for APIs, services, and user interfaces.<br> Integrate automated testing into CI/CD pipelines.<br> Implement quality gates and automated validation across the software delivery pipeline.<br> Analyze test results and production telemetry to continuously improve test coverage.<br> DevOps &amp; Infrastructure Automation Build and maintain CI/CD pipelines to support automated build, test, and deployment workflows.<br> Automate infrastructure provisioning and environment setup using Infrastructure as Code.<br> AI Tooling Integration Integrate LLM-based tools into developer workflows for: automated code review test case generation incident diagnostics documentation generation Evaluate and adopt emerging AI automation platforms and frameworks.<br> Observability &amp; Reliability Implement monitoring and observability for automation systems.<br> Use telemetry and metrics to improve system reliability and automation effectiveness.<br> Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent experience.<br> Experience in software development and automation engineering.<br> Strong programming skills in at least one language such as: Python, JavaScript / TypeScript, Java, Go Experience building test automation frameworks.<br> Experience working with CI/CD systems (e.<br>g., GitHub Actions, GitLab CI, Jenkins).<br> Familiarity with containerization technologies such as Docker.<br> Understanding of software quality engineering principles.<br> Preferred Qualifications Experience integrating AI/LLM technologies into engineering workflows.<br> Familiarity with agent orchestration frameworks (e.<br>g., LangChain, AutoGen, CrewAI, Semantic Kernel).<br> Experience with cloud platforms (Azure).<br> Knowledge of infrastructure as code (Terraform, Ansible, or similar).<br> Experience with observability platforms (VictoriaMetrics, Grafana).<br> Key Competencies Automation mindset and systems thinking Strong debugging and problem-solving skills Ability to design scalable automation architectures Curiosity for emerging AI and developer productivity tools Cross-functional collaboration with engineering and operations teams Example Deliverables An AI Automation Engineer may be responsible for building systems such as: AI-generated automated test suites Intelligent CI pipelines that adapt test execution based on code changes Agent-based incident investigation tools AI-assisted release validation pipelines Autonomous environment diagnostics</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The IC is to provide specialized technical expertise in the implementation, administration, monitoring, and optimization of cloud infrastructure and DevOps platforms within Microsoft Azure. The IC will be responsible for ensuring the availability, security, scalability, and performance of enterprise systems, managing CI/CD pipelines, and writing Infrastructure as Code (IaC). Crucially, the IC will work in close coordination with the internal development team to analyze existing on-premises application architectures, gather deployment requirements, and translate current on-premises VM resource metrics into optimized, cloud-native Azure resource allocations. The consultant will also execute the tactical technical migration of legacy systems from an on-premises Proxmox virtualization environment to the Microsoft Azure cloud platform.<br> Work Location<br>UN-House ESCWA / Hybrid<br> Expected duration<br>6 months<br> Duties and Responsibilities<br>Background: The Economic and Social Commission for Western Asia (ESCWA) forms part of the United Nations Secretariat and, like the other regional commissions, operates under the supervision of the United Nations Economic and Social Council. ESCWA comprises 21 Arab countries in Western Asia and North Africa. ESCWA provides a framework for the formulation and harmonization of sectoral policies for member countries, a platform for congress and coordination, a home for expertise and knowledge, and an information observatory. ESCWA activities are coordinated with the divisions and main offices of the Headquarters of the United Nations, specialized agencies, and international and regional organizations, including the League of Arab States and its subsidiary bodies, and the Gulf Cooperation Council. This position is located in the Decision-Support and Data Science Division (DSDSD). The Decision-Support and Data Science Division is part of ESCWA's broader modernization and innovation efforts, providing advanced analytics, secure digital platforms, and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in operational resilience, DSDS leverages cutting-edge hybrid infrastructure, scalable cloud tech frameworks, and modern deployment models to ensure high availability, security, and performance for critical digital assets. Its core functions include enterprise cloud environment management, infrastructure automation, continuous integration and continuous deployment (CI/CD) optimization, and the migration of legacy on-premises platforms to advanced public cloud ecosystems. Through these capabilities, DSDS maintains reliable, enterprise-grade digital decision-support tools that empower evidence-based decision-making and foster organizational efficiency across the region. Under the supervision of the Chief of the Decision-Support and Data Science Division and in close collaboration with the infrastructure and digital development teams, the Individual Contractor (IC) will support the implementation, automation, secure hosting, and optimization of core cloud systems and scalable technology environments to support strategic initiative delivery. Duties and responsibilities: The Cloud Systems and DevOps Analyst will perform the following tasks: - Cloud Infrastructure Implementation &amp; Administration: o Deploy, manage, and optimize enterprise-scale cloud resources within Microsoft Azure, ensuring optimal performance, governance, and resource utilization. o Administer hybrid virtualization architectures, transitioning existing virtual machines and workloads out of the on-premises Proxmox environment into designated Azure landing zones. o Maintain and configure base operating systems across enterprise Windows Server and Linux environments hosted in the cloud. - DevOps Platform Engineering &amp; Infrastructure as Code (IaC): o Design, build, and maintain automated CI/CD pipelines using Azure DevOps to support rapid, secure, and reliable software delivery cycles. o Author, review, and maintain infrastructure state using Infrastructure as Code tools, specifically Terraform, Bicep, and ARM Templates. o Develop automated operational scripts utilizing PowerShell to streamline recurring system administration and provisioning tasks. - Application Lifecycle &amp; Developer Collaboration: o Work closely with the development team to audit existing on-premises hosted applications and gather technical requirements for upcoming Azure cloud deployments. o Analyze the resource utilization and architectural dependencies of applications currently running on on-premises virtual machines to determine the optimal Azure cloud topology. o Evaluate and recommend whether applications should be migrated as traditional Infrastructure-as-a-Service (IaaS) virtual machines or refactored into cloud-native Azure resources (such as App Services, Azure SQL, or container instances) to maximize scalability and cost-efficiency. o Provide technical guidance to developers regarding cloud deployment pathways, access control configurations, and performance optimization on Azure. - Cloud Security, Identity, &amp; Monitoring: o Manage cloud governance, object lifecycles, and secure identity mapping through Azure Active Directory (Azure AD / Entra ID). o Configure comprehensive observability setups using Azure Monitor and Log Analytics to establish proactive system alerts, log analysis, and performance tracking. o Implement infrastructure hardening, security controls, and operational best practices across all deployed cloud frameworks.<br> Qualifications/special skills<br>A bachelor's degree in Computer Science, Computer Engineering, Information Technology, Cloud Engineering, System Administration, or related technical fields is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 5 years of professional experience in system administration, IT infrastructure operations, or cloud platforms architecture is required. Demonstrated hands-on experience deploying, administering, and monitoring production cloud environments using Microsoft Azure is required. Proven experience building automated CI/CD pipelines and developing infrastructure deployments utilizing Infrastructure as Code tools (Terraform, Bicep, or ARM Templates) is required. Proven experience collaborating directly with software development teams to extract application performance metrics, translate software requirements into infrastructure specifications, and plan application modernization strategies is required. Solid technical proficiency in scripting with PowerShell and configuring core infrastructure services, including Windows Server, Linux, and Azure Active Directory, is required. Excellent analytical, problem-solving, and communication skills are required. Practical technical experience supporting or executing system migrations from on-premises hypervisors (specifically Proxmox VE or VMware) to public cloud environments (Microsoft Azure) is highly desirable. Official Microsoft certifications (e.g., Azure Administrator Associate, Azure DevOps Engineer Expert, or Azure Solutions Architect Expert) are highly desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Recruitment for this position is on a local basis. The incumbent is required to have the legal right to live and work in the specified working location.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI developer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the job</h4> <p>This role sits at the center of that buildout. You’ll ship near-term product features while helping us make the right architectural decisions for what’s coming. We need someone who can execute and see around corners, someone who understands both the product experience and the platform mechanics underneath it.</p> <h4>Key responsibilities</h4> <ul> <li>Build and ship AI features within the Ad Orbit product using our PHP/MySQL/React/Node stack with OpenAI API integration.</li> <li>Extend Astro Core chatbot capabilities with new read/write actions, graph generation, and analysis outputs.</li> <li>Help improve the external MCP connector schema, authentication, and capability surface.</li> <li>Own prompt engineering for product features: design, test, iterate, and document prompts as first-class product artifacts.</li> <li>Build the token metering and usage tracking layer per feature, per customer, per tier.</li> <li>Design and implement guardrails, access controls, and rate limiting across the Astro AI platform layer.</li> <li>Contribute to agent architecture decisions: tool access, memory design, token pool isolation, training data boundaries.</li> <li>Monitor AI feature performance in production latency, cost, output quality, failure modes and drive improvements.</li> <li>Stay current on the AI tooling landscape and bring concrete recommendations to the team.</li> </ul> <h4>Requirements</h4> <h4>AI product development</h4> <ul> <li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production applications used by real customers.</li> <li>Prompt engineering fluency: system prompts, few-shot examples, structured outputs, tool/function calling, chain-of-thought patterns.</li> <li>Understanding of token economics: cost per call, context management, model selection tradeoffs across feature types.</li> <li>Experience building quality evaluation and output validation frameworks around AI features.</li> <li>Awareness of AI-specific risks: hallucination, prompt injection, data leakage, output inconsistency.</li> </ul> <h4>Platform & architecture thinking</h4> <ul> <li>Experience designing or contributing to metered usage systems — API rate limiting, consumption tracking, billing integration.</li> <li>Familiarity with designing MCP (Model Context Protocol) — understanding of how LLM-native integrations differ from traditional REST.</li> <li>Ability to reason about multi-tenant access controls: how AI features should behave differently across customer tiers.</li> <li>Understanding of agent architecture patterns: tool registries, memory types, token pool management, task delegation.</li> </ul> <h4>Core stack</h4> <ul> <li>React and Node: able to build frontend components that surface AI features, including data visualizations.</li> <li>Solid PHP development experience — comfortable extending a production codebase, not just greenfield.</li> <li>MySQL: schema design, query optimization, and data modeling for AI feature state and usage tracking.</li> <li>Typescript: used on the backend of the MCP layer.</li> </ul> <p>Bachelor’s degree in computer science, information systems, engineering or a related field.</p> <p>3+ years of experience in consulting, digital transformation, enterprise software implementation, or AI-related projects.</p> <p>Strong understanding of artificial intelligence, machine learning, generative AI, and automation concepts.</p> <p>Strong presentation, communication, and stakeholder management skills.</p> <p>Experience working directly with customers and senior business stakeholders.</p> <p>Excellent problem-solving and analytical skills.</p></p><p></p>