Inspection Engineer Jobs - Beirut Lebanon

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for a AI Engineer to join our team in Lebanon. 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><p>What you'll do:</p><ul><li>Ship AI features in our PHP/MySQL/React/Node stack with OpenAI API integration</li><li>Extend our AI chatbot (Astro Core) with new capabilities like data visualization and analysis</li><li>Help build out our external MCP connector (schema, auth, capabilities)</li><li>Own prompt engineering as a core product discipline</li><li>Build token metering, usage tracking, and tiered access controls</li><li>Contribute to agent architecture: tool access, memory, token pool isolation</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production apps</li><li>Strong prompt engineering skills (system prompts, function calling, structured outputs)</li><li>Understanding of token economics and usage-based product design</li><li>Experience with metered/rate-limited systems or billing integration</li><li>Solid PHP and MySQL experience comfortable in an existing production codebase</li><li>React/Node for frontend features; TypeScript for backend MCP work</li><li>Nice to have: RAG/vector DB exposure, LangChain/LlamaIndex familiarity, SaaS or ad-tech background, prior work on customer-facing agents.</li></ul><p></p></section>

We are seeking a Procurement Engineer to join our team. In this role, he/she will be responsible for managing project sourcing activities within EbcoBitar. This includes sourcing and acquiring goods and services, negotiating prices, and ensuring that all procurement activities align with company policies and strategic objectives.He/she will play a key role in optimizing procurement performance, supporting project timelines, and maintaining strong supplier relationships. The ideal candidate will have strong negotiation skills, a sharp eye for detail, a solid understanding of procurement processes, and a technical background to support effective decision-making. <br>Key Responsibilities: <br>Procurement Management: <br>Identify and evaluate suppliers, negotiate prices, and place orders for goods and services needed by the clients or Operations Departments or Energy Solutions Department. <br>Ensure timely delivery of goods and services and resolve any related issues. <br>Maintain accurate records of procurement activities and transactions. <br>Conduct market research to identify trends and pricing information. <br>Continuously expand the supply chain network and their credit lines of the company in compliance with set policies and procedures. <br>Conduct annual tenders for supply of goods as applicable. <br>Supplier Relations: <br>Develop and maintain strong relationships with suppliers and vendors. <br>Monitor supplier performance and address any issues or concerns promptly. <br>Contract Management: <br>Draft, review, and negotiate contracts and agreements with suppliers, as applicable. <br>Ensure that all agreements comply with company policies and legal requirements. <br>Manage contract renewals and amendments as necessary. <br>Compliance and Documentation: <br>Ensure all procurement activities adhere to company policies, procedures, and regulatory requirements. <br>Collaboration: <br>Work closely with other departments, including Tendering & Operations, to understand their needs and requirements. <br>Assist in the development and implementation of procurement strategies and policies. <br>Qualifications: <br>Bachelor’s degree in Civil Engineering. <br>5 years of experience, including at least 3 years as a Procurement Engineer or in a similar role within a Contracting company or a related industry. <br>Technical knowledge in electro-mechanical fields <br>Strong negotiation, communication, and interpersonal skills. <br>Excellent organizational and analytical abilities. <br>Proficiency in procurement software and Microsoft Office Suite (Excel, Word, PowerPoint). <br>Proficiency in standard Engineering software (AutoCad, Primavera) <br>Ability to work independently and as part of a team

Job Summary: <br>We are looking for a highly skilled AI Engineer with 2 to 5 years of experience to design, develop, and deploy cutting-edge AI and machine learning solutions. <br>In this role, you will work with large datasets, build intelligent models, and drive innovation by leveraging advanced AI techniques. <br>You will collaborate with cross-functional teams to integrate AI capabilities into business applications, ensuring scalability, efficiency, and real-world impact. <br>If you have a strong foundation in machine learning, deep learning, and AI-driven problem-solving, and you're eager to push the boundaries of technology, we want to hear from you. <br>Job Responsibilities: <br>• Develop, train, and deploy machine learning models to solve business challenges. <br>• Work with large datasets to extract insights, clean, and preprocess data. <br>• Optimize model performance, accuracy, and efficiency. <br>• Design and implement AI algorithms for task, computer vision, or predictive analytics. <br>• Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions. <br>• Stay up to date with the latest advancements in AI/ML and apply innovative techniques. <br>• Ensure scalability and efficiency of AI solutions in production environments. <br>• Troubleshoot and fine-tune models for performance improvement. <br>Required Qualifications & Skills: <br>• Education: Bachelor’s degree in computer science, AI, Data Science, Data Analytics or a related field. <br>• Experience: 2-5 years of hands-on experience in AI/ML development, power BI, copilot studio, generative AI, and AI agent <br>• Proficiency in Python, experience with large datasets, data preprocessing, and feature engineering. <br>• AI Specialization: Strong understanding of deep learning <br>• Problem-Solving: Ability to analyse complex problems and implement AI-driven solutions. <br>• Strong communication skills to work effectively with cross-functional teams

Position: Outdoor Sales Engineer <br>Employment Type: Full -time <br> <br>Tasks and Responsibilities: <br>• Collaborate with sales teams to understand customer requirements by promoting the company's product and providing sales support. <br>• Take responsibility for relevant assigned projects. <br>• Visit customers and deliver presentation to promote the company’s products and services and to negotiate sales agreements. <br>• Collects, organizes, and assembles data for reports, presentations and/or special projects. <br>• Assists customers in answering technical questions on systems, client products, and system application alternative, installation, operation, maintenance, and problem resolution. <br>• Attend project negotiation meetings through the various stages of the project. <br>• Designing, drawing air conditioning system and deliver technical presentations to customers that fit their needs. <br>• Record details of inquiries, complaints, or comments, as well as actions taken. <br>• Develop strong relationship with clients. <br>• Coordinate pricing policies with the sales manager and the management team. <br>Skills: <br>• Technical Skills: understanding the inner working of Air Conditioning system. <br>• Communication: communicating with others to convey information effectively. <br>• Customer service: interacting with customers to communicate effectively about their needs. <br>• Computer skills: MS Office, AutoCAD <br>Related Experience: <br>• 1-3 year of experience in sales and engineering and a work experience in the AC industry along with some technical background. <br>Education: <br>• A Bachelor’s degree in Mechanical Engineering <br>Abilities: <br>• Oral and Written Comprehension – the ability to listen and read to and understand information and ideas presented through spoken words and in writing. <br>• Oral & Written Expression: the ability to communicate information and ideas in speaking and writing so others will understand

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview The Microsoft Fabric Data Engineer designs, builds, and operates modern data platforms using Microsoft Fabric. This role focuses on ingesting, modeling, and serving data via OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Power BI delivering trusted, performant datasets and governed analytics at scale. The role collaborates closely with data architects, analytics engineers, BI developers, and business stakeholders. Key Responsibilities 1. Data Platform Engineering (Fabric) Build and manage Lakehouses (Delta Lake) and Fabric Data Warehouses. Develop Data Pipelines and Dataflows Gen2 for batch and near-real-time ingestion. Create and optimize Notebook-based transformations (PySpark/SQL) and SQL stored procedures for DW workloads. Implement medallion architecture (bronze/silver/gold) for scalable curation. Publish certified semantic models and Power BI datasets aligned to business domains. 2. Performance &amp; Reliability Optimize storage/compute in OneLake (file formats, partitioning, z-ordering). Tune Spark and SQL workloads (caching strategies, concurrency, workload isolation). Implement robust retry, alerting, and monitoring (Fabric Monitoring Hub, Metrics app). Conduct end-to-end pipeline performance testing and scalability assessments. 3. Governance, Security &amp; Compliance Enforce data governance with sensitivity labels, row-level/column-level security, and workspace roles. Manage item-level permissions (Lakehouse tables, DW schemas, datasets) and Managed Identities for sources. Apply data quality rules, lineage, and documentation (Descriptions, Tags, Owner metadata; Purview if applicable). Ensure compliance with organizational standards (PII handling, audit, retention). 4. DevOps &amp; Lifecycle Management Use Fabric Git integration and Deployment Pipelines for CI/CD across dev/test/prod. Parameterize pipelines and environments; externalize configuration and secrets (Key Vault). Implement automated testing for data transformations and schemas. Drive release management, change control, and rollback strategies. 5. Collaboration &amp; Stakeholder Engagement Partner with analytics engineers and BI teams to design star schemas, semantic models, and DAX measures. Work with data source owners for SLAs, schema change management, and contracts. Translate business requirements into technical designs and document architecture decisions. Provide knowledge transfer, best practices, and support to data consumers.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><h2>Required Skills &amp; Qualifications</h2><ul><li><strong>Technical Skills</strong> Microsoft Fabric (hands-on): OneLake, Lakehouse (Delta), Fabric Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, Semantic Models/Power BI, Monitoring Hub.</li><li><strong>Programming &amp; Querying</strong>: PySpark, SQL (T-SQL), Delta Lake operations; DAX familiarity is a plus.</li><li><strong>Modeling &amp; Architecture</strong>: Dimensional modeling, Data Vault or medallion patterns, data quality frameworks.</li><li><strong>Performance &amp; Ops</strong>: Partitioning, file formats (Parquet/Delta), caching/z-ordering, job orchestration, monitoring.</li><li><strong>DevOps</strong>: Git, Fabric Deployment Pipelines, YAML CI/CD (GitHub Actions/Azure DevOps), IaC exposure (Bicep/Terraform for non-Fabric infra).</li><li><strong>Security &amp; Governance</strong>: RLS/CLS, sensitivity labels, access patterns, audit/logging, lineage.</li><li><strong>Preferred Qualifications</strong> Experience with Power BI modeling (star schemas, relationships, calculation groups, DAX). Exposure to streaming/real-time: Eventstream, Real-Time Hub, KQL databases (if applicable). Experience integrating with external sources (SQL Server, SAP, Dataverse, REST APIs). Familiarity with Microsoft Purview for governance/lineage.</li><li><strong>Certifications</strong>: DP-600: Microsoft Fabric Analytics Engineer Associate (strongly preferred) DP-203: Data Engineering on Microsoft Azure (nice to have)</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview Associate Data Integration Engineer is responsible for designing, developing, and maintaining cloud-based integration solutions using Microsoft Azure services. This role focuses on building scalable integration architectures, implementing API-driven workflows, orchestrating system communication, and ensuring high availability, performance, and security across integration platforms. The engineer will work closely with application teams, data engineers, and architects to deliver enterprise-grade integration solutions. Key Responsibilities 1. Solution Design Design and implement integration solutions using Azure services such as: Azure Logic Apps (Standard &amp; Consumption) Azure Service Bus (Queues, Topics, DLQ) Azure API Management Event Grid / Event Hub Azure Functions Translate functional requirements into scalable integration architectures. Build robust retry, error-handling, dead-lettering, and monitoring patterns. 2. Development &amp; Implementation Develop integration workflows using Logic Apps (stateful and stateless). Implement synchronous and asynchronous messaging patterns. Build APIs and connectors for internal/external system integrations. Implement CI/CD pipelines for integration components (Azure DevOps/GitHub). Build reusable components, templates, and enterprise integration patterns. 3. Service Bus &amp; Messaging Configure queues, topics, subscriptions, and rules. Implement DLQ handling, repair &amp; replay, and quarantine logic. Ensure message security, idempotency, and guaranteed delivery. 4. API Management Publish, secure, and monitor APIs using Azure API Management. Implement policies (rate limiting, caching, transformation, authentication). Manage API lifecycle and developer onboarding. 5. Monitoring &amp; Support Implement alerting and observability using: Application Insights Log Analytics Azure Monitor Troubleshoot integration failures, performance issues, and message dead-lettering. Support production workloads, ensure platform reliability, and optimize cost. 6. Security &amp; Governance Apply best practices for identity and access management (Azure AD). Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault. Ensure compliance with company governance and Azure landing zone policies.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><p><strong>Required Skills &amp; Qualifications</strong></p><ul><li>Bachelor s degree in Computer Science, Software Engineering, Information Systems, or a related field.</li><li>Basic understanding of data integration concepts (ETL/ELT, APIs, messaging).</li><li>Experience or familiarity with programming languages such as Python, Java, C#, or SQL</li><li>Knowledge of relational databases (PostgreSQL, MySQL, SQL Server) and basic NoSQL concepts, CosmosDb.</li><li>Understanding of data formats such as JSON, XML, CSV, and Parquet.</li><li>Familiarity with REST APIs and data exchange mechanisms.</li><li>Basic exposure to cloud platforms (Azure) is an advantage.</li></ul><p></p></section>

The Administrative Engineer is responsible for overseeing engineering administrative functions while leading the Estimation, Procurement, and Contracts departments. The role ensures effective project coordination, accurate cost estimation, efficient procurement, and proper contract administration to support the successful delivery of construction projects. <br> <br>Responsibilities <br>Lead the Estimation, Procurement, and Contracts departments. <br>Prepare and review project estimates, tender documents, BOQs, and pricing. <br>Manage procurement activities, including supplier selection, negotiations, and purchasing. <br>Review, negotiate, and administer contracts with clients, suppliers, and subcontractors. <br>Coordinate with project managers, consultants, and other stakeholders to ensure smooth project execution. <br>Monitor project costs, procurement schedules, and contractual obligations. <br>Prepare reports, maintain project documentation, and ensure proper document control. <br>Identify commercial and contractual risks and recommend appropriate solutions. <br>Ensure compliance with company policies, project requirements, and contractual terms. <br>Lead and support departmental staff while driving continuous improvement. <br> <br>Qualifications <br>Bachelor's degree in civil, Mechanical, or Electrical Engineering, or a related field. <br>Minimum 7 years of experience in the construction industry. <br>Strong experience in Estimation, Procurement, and Contract Management. <br>Excellent leadership, negotiation, communication, and organizational skills

Company Description <br>RAY Labs is a PropTech company based in Beirut, focused on addressing the pain points related to space and community management. Our core product is a mobile and web SaaS platform offering dynamic features, allowing property, facility, and community managers to efficiently manage communities and spaces. By equipping stakeholders with the relevant capabilities and tools, our platform improves operational efficiency, payment convenience, community engagement, and reduces administrative work. <br> <br>Position Overview <br>As a Junior DevOps Engineer, you will play a key role in modernizing the development and deployment lifecycles of our company, by collaborating with our development teams to build and maintain development/deployment pipelines. <br> <br>Responsibilities <br>· Automate deployment, scaling, and management of containerized applications using Kubernetes (on Azure services and on VMs) <br>· Maintain and enhance CI/CD pipelines in Jenkins for our codelines: <br>· Backend (PHP, Java) <br>· Frontend (Angular) <br>· Mobile (iOS, Android) <br>· Deploy and manage monitoring and logging tools to provide centralized reporting for production environments, as well as alerts when critical issues occur. <br>· Assist developers in monitoring, troubleshooting, and resolving issues in production environments. <br> <br>Requirements <br>· 1+ years of experience in a DevOps or related role. <br>· Basic understanding of Kubernetes (min. 6 months hands-on experience or certification). <br>· Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, or equivalent). <br>· Familiarity with cloud platforms, particularly Azure (knowledge of AWS or GCP is a plus). <br>· Experience with containerization technologies (Docker). <br>· Knowledge of infrastructure as code tools (Terraform, Ansible, Helm, or similar). <br>· Experience with version control (Git). <br>· Basic scripting knowledge (Bash, Python, Groovy, or similar). <br>· Excellent problem-solving skills and attention to detail. <br>· Strong communication and teamwork abilities

<p>Our client, a telecom company is seeking an Energy Engineer to support the design, simulation, and evaluation of energy solutions for a wide range of power and renewable energy projects. The role involves performing energy modelling, technical analysis, costing evaluations, and preparing reports to ensure solutions meet customer requirements, technical standards, and commercial objectives. The ideal candidate has a solid understanding of electrical and renewable energy systems, strong analytical skills, and hands-on experience with energy simulation software.</p><p><b><br></b></p><p><b>Key Responsibilities</b></p><ul><li>Perform energy simulations and technical analyses for solar, hybrid, battery energy storage (BESS), generator, and other energy solutions.</li><li>Design and evaluate optimized energy solutions based on technical, operational, and financial requirements.</li><li>Support feasibility studies and energy performance assessments for customer projects.</li><li>Assist in sizing renewable energy systems and evaluating different technology options.</li><li>Develop and run energy models using software such as HOMER, PVsyst, and other simulation tools.</li><li>Analyze system performance, energy production, consumption profiles, and lifecycle costs.</li><li>Validate simulation outputs and recommend design improvements where required.</li><li>Prepare technical and financial models to support project proposals and solution selection.</li><li>Conduct lifecycle cost analysis, ROI calculations, and energy savings evaluations.</li><li>Support pricing exercises by providing accurate technical inputs and costing assumptions.</li><li>Collect, validate, and analyze project and site data.</li><li>Prepare technical reports, energy assessment reports, performance analyses, and customer documentation.</li><li>Develop dashboards and analytical reports using advanced Excel.</li><li>Maintain and improve energy modelling templates, simulation tools, and costing databases.</li><li>Document engineering methodologies and ensure compliance with internal standards.</li><li>Support continuous improvement initiatives within the Energy Engineering team.</li><li>Provide technical support to internal departments including Sales, Presales, Projects, and Operations.</li><li>Assist operating entities with technical evaluations and energy-related requests.</li><li>Collaborate with multidisciplinary teams to ensure successful project execution.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Electrical Engineering or Energy Engineering.</li><li>1-3 years of experience in energy engineering, renewable energy, or electrical solution design.</li><li>Experience in solar PV, hybrid power systems, battery storage, or distributed energy solutions is preferred.</li><li>Knowledge of renewable energy technologies and energy systems.</li><li>Experience with energy simulation software such as:</li><ul><li>HOMER</li><li>PVsyst</li><li>Other energy modelling tools is a plus.</li></ul><li>Strong understanding of:</li><ul><li>Solar PV systems</li><li>Battery Energy Storage Systems (BESS)</li><li>Diesel generators</li><li>Hybrid energy solutions</li><li>Electrical power systems</li></ul><li>Advanced Microsoft Excel skills (formulas, data analysis, financial models).</li><li>Knowledge of energy costing and techno-commercial evaluations.</li><li>Strong analytical and problem-solving abilities.</li><li>The candidate must have proficient English, and fluency in French is mandatory.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Overview The Data Quality Engineer will ensure the accuracy, consistency, and reliability of data across the Microsoft Fabric Data Warehouse, its integrations, and connected services. The role focuses on testing and validating data pipelines, event-driven processes, and Azure-based integrations such as Logic Apps and Service Bus. The engineer will collaborate closely with data engineers, architects, and business units to maintain high-quality, trustworthy data for analytics and reporting. Key Responsibilities Design, develop, and execute data quality and validation tests for Microsoft Fabric Data Warehouse objects (tables, views, semantic models). Validate ETL/ELT pipelines, including Fabric Dataflows and integrated source systems, for accuracy and completeness. Test and monitor event-driven data processes, including Azure Service Bus messages, queues, and topics. Validate Azure Logic Apps workflows and integrations that move or transform data between systems. Perform end-to-end testing of data ingestion, transformations, and delivery to downstream consumers or BI systems. Develop and maintain automated data quality checks, reconciliation scripts, and test frameworks. Identify, analyze, and report data quality issues, including root cause analysis and impact assessment. Collaborate with Data Engineers, BI teams, and business units to define data quality rules, metrics, and acceptance criteria. Monitor data quality KPIs, implement controls to prevent defects, and ensure reliability in production pipelines. Document test cases, workflows, data quality rules, and testing outcomes clearly for technical and business stakeholders. Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Azure Logic Apps testing, and Service Bus testing scripts. Perform unit testing and validation of Azure Logic Apps workflows and Service Bus message flows. Develop and maintain automated data quality checks and integration tests using tools such as dbt, Great Expectations, or custom scripts. Validate and test API endpoints and integration workflows using tools such as Postman to ensure data is accurately transmitted between systems. Perform end-to-end testing of event-driven processes and service integrations using Postman and automated scripts.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>We are looking for entrepreneurs, techies, passionate, eager to learn, humble, with a positive attitude and a high level of integrity People. Flexible and willing to take challenges, work and live in coffee-producing countries, People who want to build expertise and a career in the coffee business and are ready to go the extra mile.</p><p>Required Skills &amp; Qualifications</p><ul><li>Strong experience in data quality testing and validation for data warehouses or large-scale analytics platforms.</li><li>Hands-on experience with Microsoft Fabric (Data Warehouse, Lakehouse, Pipelines, Dataflows).</li><li>Proficiency in SQL and experience validating ETL/ELT pipelines.</li><li>Experience with event-driven architectures and Azure integrations: Azure Service Bus (queues, topics, subscriptions) Azure Logic Apps for workflow automation</li><li>Experience testing data integrations across multiple source systems.</li><li>Familiarity with data quality concepts: completeness, accuracy, consistency, timeliness, uniqueness.</li><li>Experience with automation and scripting (Python, PySpark, PowerShell).</li><li>Understanding of data modeling concepts: star schema, snowflake, fact and dimension tables.</li><li>Strong analytical, problem-solving, and troubleshooting skills.</li><li>Excellent documentation and communication skills.</li><li>Familiarity with unit testing, automated data validation, and integration testing tools such as dbt, Great Expectations, tSQLt, pytest, Postman, Azure Logic Apps testing, and Service Bus testing scripts .</li></ul><p>Preferred / Nice to Have:</p><ul><li>Experience with data quality frameworks (e.g., Great Expectations).</li><li>Knowledge of Azure Data Factory, Synapse Analytics, and OneLake.</li><li>Familiarity with CI/CD pipelines for data platforms.</li><li>Understanding of data governance, metadata management, and auditing standards.</li></ul><p></p></section>

Position: Indoor Sales Engineer <br>Employer Type: Full-time <br> <br>Tasks and Responsibilities: <br> <br>o Collaborate with the sales team to understand customer requirements and project specifications. <br>o Prepare accurate technical and commercial quotations for new elevator installations, modernization, and replacement projects. <br>o Review customer inquiries, drawings, and project documentation to develop suitable elevator solutions. <br>o Attend customer meetings, project negotiations, and technical presentations to explain product features and recommend appropriate elevator systems. <br>o Negotiate commercial and technical proposals with clients to secure orders while maintaining company profitability. <br>o Build and maintain strong relationships with customers by providing professional technical support throughout the sales process. <br>o Identify missing customer or project information required to prepare accurate estimates and proposals. <br>o Coordinate with engineering, procurement, suppliers, and manufacturing teams to ensure the feasibility and accuracy of proposed solutions. <br>o Follow up on submitted quotations and maintain regular communication with customers until order confirmation. <br>o Assist customers throughout the project lifecycle, from initial inquiry through project completion, including coordinating financing applications when applicable. <br>o Ensure quotations comply with company standards, technical specifications, and customer requirements. <br>o Maintain records of quotations, customer interactions, and sales activities within the company's ERP system. <br>o Stay updated on elevator products, industry standards, safety regulations, and market trends. <br>o Support the achievement of departmental sales targets and business objectives. <br>o Ensure that all contracts are aligned within OTIS policies and procedures. <br> <br>Skills: <br>• Technical Skills: understanding the inner working of elevator & escalator systems. <br>• Communication: communicating with others to convey information effectively. <br>• Customer service: interacting with customers to communicate effectively about their needs. <br>• Computer skills: MS Office, AutoCAD <br> <br>Related Experience: <br>• 0-3 year of experience in the elevator field. <br>• Previous experience in sales is a plus. <br>Education: <br>• A Bachelor’s degree in Mechanical Engineering <br>Abilities: <br>• Oral and Written Comprehension – the ability to listen and read to and understand information and ideas presented through spoken words and in writing. <br>• Oral & Written Expression: the ability to communicate information and ideas in speaking and writing so others will understand

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

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer 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 is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for an AI engineer 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 is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace — agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p> <h4>Key responsibilities</h4> <li>Design and build agentic systems that power core marketplace experiences — listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li> <li>Architect tool-using agents with reliable planning, execution, and recovery</li> <li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li> <li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li> <li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li> <li>Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production</li> <h4>Requirements</h4> <li>3 - 5 years of experience</li> <li>Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</li> <li>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</li> <li>Experience designing and running evals for non-deterministic systems</li> <li>Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design</li> <li>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</li></p><p></p>

<p><strong>Job Description Role Overview:</strong> The Microsoft Fabric Data Engineer is responsible for designing, building, optimizing, and operating enterprise-scale data platforms on Microsoft Fabric. This role focuses on data ingestion, transformation, storage, governance, automation, and platform reliability using OneLake, Lakehouse, Data Warehouse, Data Pipelines, and Spark technologies. The position is heavily focused on Data Engineering and Platform Engineering rather than reporting and dashboard development. The successful candidate will build scalable, governed, and high-performance data solutions that support analytics, AI, operational reporting, and business intelligence initiatives across the organization. This role is primarily focused on Data Engineering, Data Platform Development, and Microsoft Fabric architecture. Candidates whose experience is primarily centered around Power BI report development, dashboard creation, or data visualization without substantial Data Engineering experience may not be a fit for this position.</p><p><strong>Key Responsibilities</strong></p><ol><li><strong>Data Engineering &amp; Platform Development</strong> Design and implement enterprise-scale Lakehouse architectures using OneLake and Delta Lake. Build and maintain robust batch, incremental, CDC, and near real-time data ingestion pipelines. Develop scalable ETL/ELT solutions using Fabric Data Pipelines, Dataflows Gen2, PySpark, and SQL. Implement and manage Medallion Architecture (Bronze, Silver, Gold). Develop reusable and metadata-driven ingestion and transformation frameworks. Integrate data from ERP systems, SAP, REST APIs, SQL Server, Dataverse, and other enterprise applications. Design and maintain enterprise data models supporting analytical and operational workloads.</li><li><strong>Fabric Engineering &amp; Optimization</strong> Develop and optimize Fabric Lakehouses and Data Warehouses. Build advanced Notebook-based transformations utilizing PySpark and Spark SQL. Implement Delta Lake capabilities including: Merge/Upsert Change Data Feed (CDF) Time Travel Schema Evolution Optimize Vacuum Design scalable storage, partitioning, and file management strategies within OneLake. Optimize Spark workloads and Data Warehouse performance.</li><li><strong>Performance, Reliability &amp; Monitoring</strong> Tune large-scale Spark and SQL workloads. Implement monitoring, alerting, and operational dashboards using Fabric Monitoring Hub and Metrics. Conduct performance testing and scalability assessments. Troubleshoot pipeline failures and platform performance bottlenecks. Define and monitor SLAs for critical data assets and pipelines. Ensure high availability and operational excellence across data workloads.</li><li><strong>DevOps &amp; Platform Automation</strong> Implement CI/CD using Fabric Git Integration and Deployment Pipelines. Build automated deployment processes across Development, Test, and Production environments. Develop automated testing frameworks for data quality, schema validation, and regression testing. Manage environment configurations, secrets, and deployment parameters. Utilize Azure DevOps or GitHub Actions to support release automation and governance. Define rollback, release management, and change control processes.</li><li><strong>Data Quality, Governance &amp; Security</strong> Implement automated data quality validation frameworks. Develop reconciliation, completeness, and consistency checks. Manage data lineage, metadata, and documentation standards. Implement sensitivity labels, access controls, auditing, and compliance requirements. Ensure adherence to organizational standards for governance, security, retention, and PII handling. Manage workspace permissions, Managed Identities, RLS, and CLS where required.</li><li><strong>Technical Leadership &amp; Collaboration</strong> Translate business requirements into scalable technical solutions. Collaborate with Data Architects, Data Analysts, Integration Engineers, and business stakeholders. Lead engineering best practices and platform standards. Mentor junior engineers and support knowledge-sharing initiatives. Produce architecture documentation and technical design specifications. Drive continuous improvement of the data platform and engineering practices.</li></ol><p><strong>Desired Candidate Profile</strong></p><h2>Qualifications and Experience:</h2><ul><li>Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>Minimum 5 years of experience in Data Engineering.</li><li>Minimum 2 years of hands-on experience with Microsoft Fabric, Azure Data Engineering, Databricks, or modern Lakehouse platforms.</li><li>Proven experience designing and building enterprise-grade data platforms.</li></ul><h2>Required Technical Skills</h2><ul><li>Microsoft Fabric</li><li>OneLake</li><li>Lakehouse</li><li>Delta Lake</li><li>Fabric Data Warehouse</li><li>Data Pipelines</li><li>Dataflows Gen2</li><li>Notebooks</li><li>Monitoring Hub</li><li>Deployment Pipelines</li><li>Git Integration</li><li>Data Engineering</li><li>PySpark</li><li>Spark SQL</li><li>SQL / T-SQL</li><li>ETL / ELT Development</li><li>Data Modeling</li><li>Incremental Processing</li><li>Change Data Capture (CDC)</li><li>Data Quality Frameworks</li><li>Medallion Architecture</li><li>Performance Optimization</li><li>Delta Lake Optimization</li><li>Partitioning Strategies</li><li>File Management</li><li>Query Optimization</li><li>Spark Performance Tuning</li><li>Workload Management</li><li>Integration</li><li>REST APIs</li><li>SQL Server</li><li>SAP</li><li>Azure Storage</li><li>Dataverse</li><li>Enterprise Application Integration</li><li>DevOps</li><li>Git</li><li>Azure DevOps</li><li>GitHub Actions</li><li>YAML Pipelines</li><li>CI/CD</li><li>Automated Testing</li><li>Security &amp; Governance</li><li>Row-Level Security (RLS)</li><li>Column-Level Security (CLS)</li><li>Sensitivity Labels</li><li>Managed Identities</li><li>Data Lineage</li><li>Audit and Compliance Controls</li></ul>

GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer who will be responsible for designing, developing, integrating, and deploying AI capabilities across GlobeMed. The role provides senior technical expertise in AI engineering, application development, while working closely with business and technical teams to deliver reliable, scalable, and secure AI capabilities aligned with organizational needs. <br> <br>Duties & Responsibilities: <br> <br> Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks. <br> Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable. <br> Develop and maintain front-end and back-end components supporting AI applications. <br> Apply AI-assisted coding tools to improve development efficiency and code quality. <br> Evaluate and adopt emerging AI technologies, frameworks, and development practices. <br> Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability. <br> Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed. <br> Monitor and optimize the technical performance and resource utilization of AI environments. <br> Lead technical testing and validation of AI solutions prior to implementation. <br> Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability. <br> Identify technical and functional issues and coordinate their resolution. <br> Establish appropriate testing approaches for AI models, agents, integrations, and applications. <br> Training, evaluating, and fine-tuning ML models on historical data for predictive analysis. <br> <br>Qualifications <br> <br>Education: <br> <br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field. <br> Relevant Master's degree or professional AI/cloud certification is an advantage. <br> <br>Experience/Knowledge: <br> <br> 3-6 years of experience in AI Platforms. <br> Strong hands-on experience developing and deploying AI applications and capabilities. <br> Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices. <br> Experience with AI agents, MCPs, and AI integrations. <br> Experience using AI coding and AI-assisted software development tools. <br> Experience working with legacy Databases using SQL. <br> Hands on code knowledge using python or other similar languages. <br> Source Control platform integration example GIT. <br> Previous experience working with microservices <br> Prior work experience with message queues and streaming platforms is a plus. <br> Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus. <br> Experience working on ML models with hands on experience using platforms like pytorch. <br> Hands on model testing, metrics evaluation, and fine tuning for ML predictive models

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for an AI Engineer to join our team in Lebanon. 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><p>About the job: This is a builder role for someone obsessed with what agents can actually do in production. You'll design and ship autonomous AI systems that operate inside the Polygon marketplace agents that understand jewelry listings, assist buyers and sellers, surface intelligence across decades of trade data, and automate workflows that have been manual for forty years. You won't just be wiring up LLM calls. You'll be designing agentic systems end-to-end: tool definitions, planning loops, memory, evals, guardrails, observability, and the product surfaces that put these capabilities in front of real users.</p><p>Key Responsibilities</p><ul><li>Design and build agentic systems that power core marketplace experiences listing intelligence, semantic and multi-step search, buyer/seller assistants, trade matching, content moderation, and market analytics</li><li>Architect tool-using agents with reliable planning, execution, and recovery</li><li>Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring</li><li>Partner with product and design to translate agentic capabilities into UX that members actually use and trust</li><li>Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently</li><li>Stay on the frontier evaluate new models, frameworks, and techniques and bring the ones that matter into production</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>3 - 5 years of experience</p><p>Production experience building agentic systems with LLMs not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks</p><p>Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming</p><p>Experience designing and running evals for non-deterministic systems</p><p>Strong software engineering fundamentals TypeScript/Python, modern web stack, API design</p><p>Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</p><p></p></section>

<p><h4>Description</h4> <p>Aspire Software is looking for a software engineer 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 role</h4> <p>We are hiring a mid-level Go engineer to build and operate the microservices at the core of our payments platform. You will own services end to end — from API design and database schema through testing, containerization, and production deployment — in a domain where correctness, security, and reliability are non-negotiable. This is a hands-on building role with clear ownership and room to grow into deeper platform and architecture work.</p> <p>Our services are REST/JSON APIs (Gin) deployed on AWS ECS, with observability handled through internal services today. As we scale the platform, there is real room to help raise the engineering bar — introducing metrics and distributed tracing, structured observability, and stronger CI/static-analysis standards. If you like owning systems and shaping how they are built, you will have that runway here.</p> <p>You will join an engineering team that uses AI-assisted development tools as a standard part of its workflow. We expect engineers to use these tools well — to move faster without sacrificing the rigor that payments demand.</p> <h4>What you'll do</h4> <ul> <li>Design, build, and maintain Go microservices (HTTP APIs, sidecars, and background processors) that handle payment authorization, tokenization, settlement, and reporting.</li> <li>Write clean, well-tested Go: table-driven unit tests, mocked dependencies, and meaningful coverage on the paths that move money.</li> <li>Profile and tune services for high throughput and low latency (pprof, benchmarking) — transaction paths are latency-sensitive.</li> <li>Integrate with relational and NoSQL data stores (MySQL, DynamoDB, PostgreSQL); design schemas, access patterns, and migrations that hold up under load and evolve safely.</li> <li>Build and consume internal service APIs, including service-to-service authentication and shared platform libraries.</li> <li>Containerize services with multi-stage Docker builds and ship them through CI/CD pipelines to cloud infrastructure.</li> <li>Integrate with third-party payment processors and AWS services, handling sensitive data in line with PCI DSS and our security standards (secure coding, data masking, TLS, secrets management).</li> <li>Build reliability into money-movement flows: idempotency, retries, and reconciliation/settlement correctness.</li> <li>Participate in code review, design discussions, on-call rotation, and incident response for the services you own.</li> <li>Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) effectively and responsibly as part of day-to-day work.</li> </ul> <h4>Requirements</h4> <ul> <li>3+ years of professional software engineering experience, with production Go experience among them (mid-level seniority).</li> <li>Bachelor's degree in computer science or a related field, or equivalent practical experience.</li> <li>Solid command of Go fundamentals: concurrency done right (goroutine lifecycle, channel discipline, context-driven cancellation), interfaces, error handling, modules, and the standard library.</li> <li>Experience building and consuming RESTful HTTP APIs, ideally with a Go web framework (we use Gin).</li> <li>Working proficiency with SQL databases (schema design, queries, transactions) — we use MySQL with sqlx.</li> <li>Comfort with Docker and CI/CD pipelines as part of a normal development workflow.</li> <li>Demonstrated experience using AI-assisted development tools (Copilot, Claude Code, Cursor, or similar) in real project work — and good judgment about when to trust, verify, and override their output.</li> <li>Strong testing discipline and the habit of writing maintainable, reviewable code.</li> <li>Clear written and verbal communication, a collaborative and ownership-driven mindset, and comfort working in an agile/iterative team onsite.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Payments / fintech background — payment gateways, card processing, tokenization, PCI DSS, fraud, or financial transaction systems (strongly preferred).</li> <li>Hands-on AWS experience, especially DynamoDB, S3, Secrets Manager, KMS, SSM Parameter Store, ECS, and ECR.</li> <li>Experience with microservices and distributed-systems patterns (service-to-service auth, sidecars, idempotency, retries, observability).</li> <li>Familiarity with NoSQL (DynamoDB) and/or PostgreSQL in addition to MySQL.</li> <li>Experience with secure handling of sensitive data: encryption (AES, KMS), JWT, secrets management, and secure-coding practices (OWASP, data masking, TLS).</li> <li>Payments-domain depth: settlement/reconciliation, idempotency, card-network/scheme familiarity, fraud, or financial transaction systems.</li> <li>Experience introducing observability (metrics, distributed tracing, structured logging) and/or CI quality tooling (static analysis, linting) to a growing platform.</li> <li>Database schema migration and API versioning experience.</li> <li>JavaScript / TypeScript / React — a plus. Our admin and merchant UIs are React 19 + TypeScript + Vite; full-stack contribution is welcome but not required.</li> <li>Experience working in or migrating from a legacy/monolith system toward a modern service architecture.</li> </ul> <h4>Our tech stack</h4> <p>What you’ll actually work with, based on our current codebase.</p> <ul> <li>Language: Go.</li> <li>Web framework: Gin (gin-gonic/gin); some legacy services on raw net/http. REST/JSON (not gRPC).</li> <li>Data: MySQL (go-sql-driver/mysql, jmoiron/sqlx), DynamoDB (AWS SDK v2), PostgreSQL (lib/pq); Redis and Memcached for caching.</li> <li>Cloud & deploy: AWS — ECS, ECR, DynamoDB, S3, Secrets Manager, KMS, ACM, SSM, SES, Cognito (AWS SDK for Go v2).</li> <li>Auth & crypto: internal SvcAuth service-to-service auth, JWT (golang-jwt/jwt), golang.org/x/crypto, AES encryption.</li> <li>Testing: Go's testing, stretchr/testify, DATA-DOG/go-sqlmock.</li> <li>Build & deploy: Multi-stage Docker (golang ? scratch), Makefiles, GitLab CI (Docker-in-Docker), images to private ECR.</li> <li>Frontend (a plus): React 19, TypeScript 5.6, Vite, MUI, Redux Toolkit, Formik, Jest + React Testing Library.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for a software engineer 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 role</h4> <p>We are hiring a mid-level Go engineer to build and operate the microservices at the core of our payments platform. You will own services end to end — from API design and database schema through testing, containerization, and production deployment — in a domain where correctness, security, and reliability are non-negotiable. This is a hands-on building role with clear ownership and room to grow into deeper platform and architecture work.</p> <p>Our services are REST/JSON APIs (Gin) deployed on AWS ECS, with observability handled through internal services today. As we scale the platform, there is real room to help raise the engineering bar — introducing metrics and distributed tracing, structured observability, and stronger CI/static-analysis standards. If you like owning systems and shaping how they are built, you will have that runway here.</p> <p>You will join an engineering team that uses AI-assisted development tools as a standard part of its workflow. We expect engineers to use these tools well — to move faster without sacrificing the rigor that payments demand.</p> <h4>What you'll do</h4> <ul> <li>Design, build, and maintain Go microservices (HTTP APIs, sidecars, and background processors) that handle payment authorization, tokenization, settlement, and reporting.</li> <li>Write clean, well-tested Go: table-driven unit tests, mocked dependencies, and meaningful coverage on the paths that move money.</li> <li>Profile and tune services for high throughput and low latency (pprof, benchmarking) — transaction paths are latency-sensitive.</li> <li>Integrate with relational and NoSQL data stores (MySQL, DynamoDB, PostgreSQL); design schemas, access patterns, and migrations that hold up under load and evolve safely.</li> <li>Build and consume internal service APIs, including service-to-service authentication and shared platform libraries.</li> <li>Containerize services with multi-stage Docker builds and ship them through CI/CD pipelines to cloud infrastructure.</li> <li>Integrate with third-party payment processors and AWS services, handling sensitive data in line with PCI DSS and our security standards (secure coding, data masking, TLS, secrets management).</li> <li>Build reliability into money-movement flows: idempotency, retries, and reconciliation/settlement correctness.</li> <li>Participate in code review, design discussions, on-call rotation, and incident response for the services you own.</li> <li>Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) effectively and responsibly as part of day-to-day work.</li> </ul> <h4>Requirements</h4> <ul> <li>3+ years of professional software engineering experience, with production Go experience among them (mid-level seniority).</li> <li>Bachelor's degree in computer science or a related field, or equivalent practical experience.</li> <li>Solid command of Go fundamentals: concurrency done right (goroutine lifecycle, channel discipline, context-driven cancellation), interfaces, error handling, modules, and the standard library.</li> <li>Experience building and consuming RESTful HTTP APIs, ideally with a Go web framework (we use Gin).</li> <li>Working proficiency with SQL databases (schema design, queries, transactions) — we use MySQL with sqlx.</li> <li>Comfort with Docker and CI/CD pipelines as part of a normal development workflow.</li> <li>Demonstrated experience using AI-assisted development tools (Copilot, Claude Code, Cursor, or similar) in real project work — and good judgment about when to trust, verify, and override their output.</li> <li>Strong testing discipline and the habit of writing maintainable, reviewable code.</li> <li>Clear written and verbal communication, a collaborative and ownership-driven mindset, and comfort working in an agile/iterative team onsite.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Payments / fintech background — payment gateways, card processing, tokenization, PCI DSS, fraud, or financial transaction systems (strongly preferred).</li> <li>Hands-on AWS experience, especially DynamoDB, S3, Secrets Manager, KMS, SSM Parameter Store, ECS, and ECR.</li> <li>Experience with microservices and distributed-systems patterns (service-to-service auth, sidecars, idempotency, retries, observability).</li> <li>Familiarity with NoSQL (DynamoDB) and/or PostgreSQL in addition to MySQL.</li> <li>Experience with secure handling of sensitive data: encryption (AES, KMS), JWT, secrets management, and secure-coding practices (OWASP, data masking, TLS).</li> <li>Payments-domain depth: settlement/reconciliation, idempotency, card-network/scheme familiarity, fraud, or financial transaction systems.</li> <li>Experience introducing observability (metrics, distributed tracing, structured logging) and/or CI quality tooling (static analysis, linting) to a growing platform.</li> <li>Database schema migration and API versioning experience.</li> <li>JavaScript / TypeScript / React — a plus. Our admin and merchant UIs are React 19 + TypeScript + Vite; full-stack contribution is welcome but not required.</li> <li>Experience working in or migrating from a legacy/monolith system toward a modern service architecture.</li> </ul> <h4>Our tech stack</h4> <p>What you’ll actually work with, based on our current codebase.</p> <ul> <li>Language: Go.</li> <li>Web framework: Gin (gin-gonic/gin); some legacy services on raw net/http. REST/JSON (not gRPC).</li> <li>Data: MySQL (go-sql-driver/mysql, jmoiron/sqlx), DynamoDB (AWS SDK v2), PostgreSQL (lib/pq); Redis and Memcached for caching.</li> <li>Cloud & deploy: AWS — ECS, ECR, DynamoDB, S3, Secrets Manager, KMS, ACM, SSM, SES, Cognito (AWS SDK for Go v2).</li> <li>Auth & crypto: internal SvcAuth service-to-service auth, JWT (golang-jwt/jwt), golang.org/x/crypto, AES encryption.</li> <li>Testing: Go's testing, stretchr/testify, DATA-DOG/go-sqlmock.</li> <li>Build & deploy: Multi-stage Docker (golang ? scratch), Makefiles, GitLab CI (Docker-in-Docker), images to private ECR.</li> <li>Frontend (a plus): React 19, TypeScript 5.6, Vite, MUI, Redux Toolkit, Formik, Jest + React Testing Library.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for a Forward Deployed Engineer (AI) 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 role</h4> <p>As a Forward Deployed Engineer (AI), you embed directly with our businesses to design and ship AI-powered solutions against real, often messy, problems. You'll move between companies and domains — building a retrieval pipeline for one business one month, standing up an agent workflow for another the next. You own problems end to end: understand the domain, scope the solution, build it, and get it into production.</p> <p>This is fundamentally a builder's role. We care far more about whether you can turn a problem into working software with modern AI tooling than about the title you held before. That means we're open to two kinds of people: experienced software developers, and senior product managers (or others from a product background) who have the technical know-how to actually build things themselves. If you can ship, and you're fluent with AI tooling, the lane you came from matters less than what you can do with it.</p> <h4>Why this role is different</h4> <ul> <li>Hard problems, real impact. The projects are demanding and technically ambitious — you'll work at the frontier of what current AI tooling makes possible, on systems people actually depend on.</li> <li>Breadth no single company can offer. Across finance, logistics, education, government, and automotive, you'll see a far wider range of problems, data, and constraints than you would inside one product — and get sharp at recognizing patterns across all of them.</li> <li>Latest tools, encouraged. We expect you to use the best available AI development tools and to push them hard. Experimentation is part of the job, not a side project.</li> <li>Genuinely generous with tooling. This is one of the real perks of the role. Our leadership structure lets us purchase tools quickly, and we're open about which AI toolsets you use — if a tool will make you faster or better, we'll get it for you without a drawn-out approval process.</li> <li>Autonomy. You're trusted to go deep into a business, figure out what's worth building, and ship it.</li> </ul> <h4>What you'll do</h4> <ul> <li>Embed with portfolio businesses to identify, scope, and build AI-powered solutions to high-value problems.</li> <li>Design and build RAG (retrieval-augmented generation) pipelines and agentic systems that integrate with each business's data and workflows.</li> <li>Integrate large language models via APIs (Anthropic Claude, OpenAI/GPT, and others) into production applications.</li> <li>Use AI-native development tools (Cursor, Claude, Windsurf) and automation platforms (n8n and similar) to build and ship quickly.</li> <li>Take projects from problem framing through to deployed, maintainable software.</li> <li>Move fluidly between business domains, ramping up fast on unfamiliar industries and codebases.</li> </ul> <h4>Requirements</h4> <p>The non-negotiable is that you can build. Beyond that, we recognize two paths into this role:</p> <ul> <li><strong>Senior software developers</strong> — you've built and shipped real systems and can operate independently. (In rare cases we'll consider a less experienced developer who is exceptionally strong with AI tooling, but senior experience is the norm.)</li> <li><strong>Senior product managers / product backgrounds</strong> — you've worked in a product or product-management role and have the genuine technical know-how to build things yourself, not just spec them. If you can take a problem and ship a working AI-powered solution, your product instincts are a real asset here.</li> </ul> <p>Whichever path you come from, we also expect:</p> <ul> <li>Hands-on experience with AI-native tools such as Cursor, Claude, and Windsurf, and a genuine interest in AI more broadly.</li> <li>Comfort integrating AI APIs (Anthropic, OpenAI, and others) into real applications.</li> <li>The ability to own ambiguous problems end to end and ship.</li> <li>Adaptability — you enjoy jumping into new domains and getting productive quickly.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience building RAG pipelines in production.</li> <li>Experience building agents / agentic workflows.</li> <li>Familiarity with n8n or similar automation / orchestration platforms.</li> <li>Exposure to any of our verticals: finance, logistics, education, government, or automotive.</li> </ul> <h4>Tools & technologies you'll work with</h4> <p>Anthropic Claude · OpenAI/GPT · Cursor · Windsurf · RAG pipelines · AI agents · n8n · LLM APIs</p></p><p></p>