وظائف SQL في لبنان

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software.<br> EXUS launched it's Financial Suite (EFS) in 2003 with the aim to support financial entities worldwide to improve their results.<br> Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 52 countries worldwide ( MENA , EU , SEA ).<br> We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.<br> Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world .<br> This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people.<br> We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good.<br> We are positive and eager to learn and explore.<br> We are committed to our vision.<br> Our shared Values: We are transparent and direct We are positive and fun, never cynical or sarcastic We are eager to learn and explore We put the greater good first We are frugal and we do not waste resources We are fanatically disciplined, we deliver on our promises We are EXUS!<br> Are you? We are currently seeking a motivated and enthusiastic Junior Software Engineer to join the Project Engineering Team remotely.<br> As a member of our Engineering Team, you will join an international team of highly skilled professionals that delivers global market-leading collection software and provides the best possible service to our clients worldwide.<br> Responsibilities: Collaborate with the Delivery and Customer Success teams to implement and improve the product.<br> Participate in the analysis, design, implementation, testing, and review of product development modules.<br> Implement technical tasks under the guidance of senior team members.<br> Assist in troubleshooting, debugging, and resolving technical issues.<br> Learn and apply best development practices, coding standards, and product architecture.<br> Contribute to project delivery activities and continuously develop technical skills.<br> At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.<br> Fully remote work setup Competitive salary Inclusive work environment &amp; Well-being Program A clear induction program &amp; a mentoring buddy to help you Private health insurance Unlimited time off Privacy Notice for Job Applications: https://www.<br>exus.co.uk/en/careers/privacy-notice-f.<br>.. Bachelor's Degree in ICT or Engineering.<br> Fundamental knowledge of relational databases and SQL, acquired through academic studies or projects.<br> Basic understanding of Database Development concepts (Oracle, PostgreSQL, SQL Server, or similar RDBMS).<br> Strong willingness to learn new technologies and continuously develop technical skills.<br> Customer-focused attitude with great attention to detail.<br> Willingness and ability to work as part of a team.<br> Good communication and writing skills in English.<br> Ability to deliver assigned tasks and meet agreed deadlines.<br> Good communication and writing skills in English &amp; French Will be considered a plus: Good understanding of basic ETL principles.<br> Knowledge of server-side languages such as .<br>NET and Java.<br> Familiarity with web technologies and Internet protocols (XML, JSON, HTTP, TCP/IP).<br> Basic knowledge of JavaScript and client-side scripting.<br> Familiarity with JIRA and Bitbucket.<br> Basic DBA knowledge.<br> Web Server familiarity (especially IIS).<br> Internship or academic project experience in software development.<br> Ability to travel abroad, up to 20% annually, depending on project requirements and conditions.<br> Good communication and writing skills in French.<br></span> </div>

<p><h4>About Namou Properties</h4> <p>Namou Properties is a growing real estate company focused on improving operational efficiency and building data-driven systems to support business growth.</p> <h4>About the Role</h4> <p>We are looking for a remote Full Stack Developer to join the team building our internal ERP platform.</p> <p>You will design and implement secure, well-structured backend services and build responsive, user-friendly frontend interfaces. You will work closely with the product team to translate business requirements into reliable, maintainable features.</p> <h4>Responsibilities</h4> <ul> <li>Design, build, and maintain secure and performant backend services and RESTful APIs</li> <li>Develop responsive, accessible frontend interfaces that work well across devices and browsers</li> <li>Design database schemas and write efficient, optimized SQL queries</li> <li>Implement and maintain authentication and authorization flows, including role-based access control (RBAC)</li> <li>Debug issues down to their root cause and deliver clean, maintainable, well-documented code</li> <li>Participate in code reviews, giving and receiving constructive feedback</li> <li>Write and maintain basic tests to ensure code reliability</li> <li>Collaborate closely with the product team to clarify, refine, and deliver on business requirements</li> <li>Work within sprint cycles, estimating tasks and adapting to shifting priorities</li> </ul> <h4>Requirements</h4> <ul> <li>1-3 years of professional experience in full-stack development</li> <li>Strong proficiency in JavaScript and TypeScript</li> <li>Hands-on experience with Node.js and backend frameworks such as Fastify, Express, or NestJS</li> <li>Solid understanding of RESTful API design, implementation, security, and performance</li> <li>Proficiency in React and frontend fundamentals: HTML, CSS, responsive design, and cross-browser compatibility</li> <li>Solid understanding of relational databases, particularly PostgreSQL, schema design, writing efficient queries, and query optimization</li> <li>Familiarity with authentication concepts (JWT, session management) and RBAC</li> <li>Familiarity with real-time communication (WebSockets / Socket.io)</li> <li>Good understanding of the software development lifecycle (SDLC)</li> <li>Proficiency with Git and version control workflows</li> <li>Basic testing skills (unit and/or integration testing)</li> <li>Strong debugging and problem-solving skills, with a focus on root-cause analysis</li> <li>Good communication skills and a collaborative, product-minded approach</li> </ul> <h4>Nice to Have</h4> <ul> <li>Experience with ERP, CRM, or other enterprise business systems</li> <li>Experience integrating with third-party systems (webhooks, external APIs)</li> <li>Familiarity with CI/CD pipelines or deployment processes</li> </ul> <h4>Benefits</h4> <h4>Why Join Namou Properties</h4> <ul> <li>Be part of a growing real estate company focused on innovation and investment opportunities</li> <li>Competitive compensation package</li> <li>Performance-based incentives</li> <li>Opportunity to design and implement systems that directly impact business operations</li> </ul></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <br> </p> <p> <span>The Company</span> </p> <p>Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.</p> <p>Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers lives easier while continuously improving internal systems to deliver faster and at the best cost.</p> <p>If you re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we d love to hear from you.</p> <p> <br> </p> <p> <span>About the Role</span> </p> <p>Are you passionate about building scalable backend systems while owning the cloud infrastructure that powers them? As a <span>Senior Backend Engineer (Platform &amp; DevOps) at Toters, you'll split your time between designing and developing production-grade backend services and improving the cloud platform, deployment pipelines, and operational excellence that enable our engineering teams to deliver software safely and efficiently.</span> </p> <p>In this role, you'll own services end-to-end from application design and implementation to deployment, monitoring, scalability, security, and production reliability. Working closely with Software Engineers, Product Managers, and Infrastructure teams, you'll help build resilient systems that power our products while continuously improving the developer experience.</p> <p> <span>In this role, you will:</span> </p> <p> <br> </p> <p> <span>Backend Engineering</span> </p> <ul> <li>Collaborate with cross-functional teams to translate business requirements into scalable backend solutions.</li> <li>Design, develop, test, and maintain high-performance backend services using PHP (Laravel).</li> <li>Design and build RESTful APIs and microservices that power customer-facing and internal applications.</li> <li>Write clean, maintainable, and well-tested code following engineering best practices.</li> <li>Optimize application performance, database queries, caching strategies, and system scalability.</li> <li>Participate in architecture discussions and contribute to technical decisions that improve long-term maintainability.</li> <li>Conduct thoughtful code reviews and mentor engineers through technical guidance and best practices.</li> </ul> <p> <span>Platform &amp; DevOps</span> </p> <ul> <li>Design, build, and maintain cloud infrastructure on AWS to support highly available and scalable applications.</li> <li>Build and improve CI/CD pipelines that enable fast, reliable, and secure software delivery.</li> <li>Manage containerized applications using Docker and Kubernetes.</li> <li>Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform or similar tools).</li> <li>Improve system observability through monitoring, logging, alerting, and performance dashboards.</li> <li>Optimize cloud infrastructure for scalability, reliability, security, and cost efficiency.</li> <li>Participate in production incident response, troubleshooting, root cause analysis, and post-incident reviews.</li> <li>Implement security best practices for applications, infrastructure, secrets management, and access control.</li> <li>Continuously improve deployment processes, operational tooling, and developer experience across engineering teams.</li> </ul> <p> <br> </p> <p> <span>Key Qualifications</span> </p> <ul> <li>Bachelor s degree in Computer Science, Engineering, or a related field.</li> <li>6+ years of experience in backend software engineering, with significant hands-on experience in cloud infrastructure and DevOps practices.</li> <li>Strong experience developing backend applications using <span>PHP (Laravel).</span> </li> <li>Solid understanding of Object-Oriented Programming (OOP), SOLID principles, design patterns, and software architecture.</li> <li>Experience designing and building RESTful APIs, distributed systems, and microservices.</li> <li>Strong experience with relational databases such as <span>PostgreSQL or MySQL, along with caching technologies such as Redis.</span> </li> <li>Strong hands-on experience with <span>AWS, including services such as EC2, ECS, Lambda, RDS, S3, IAM, CloudWatch, VPC, and SQS.</span> </li> <li>Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar tools.</li> <li>Experience working with <span>Docker and Kubernetes in production environments.</span> </li> <li>Experience using Infrastructure as Code tools such as <span>Terraform or CloudFormation.</span> </li> <li>Strong understanding of Linux systems, networking fundamentals, and cloud security best practices.</li> <li>Experience implementing monitoring, logging, and observability solutions using tools such as CloudWatch, Grafana, Prometheus, or the ELK stack.</li> <li>Experience owning production systems, participating in on-call rotations, and resolving production incidents.</li> <li>Strong communication skills with the ability to collaborate across teams and mentor engineers.</li> <li>Passion for building scalable, secure, and reliable systems while continuously improving engineering excellence.</li> </ul> <p> <br> </p> <p> <span>Nice to Have</span> </p> <ul> <li>Experience with <span>Go, Python, or additional backend programming languages.</span> </li> <li>Experience with messaging and streaming technologies such as <span>Kafka, RabbitMQ, or AWS SQS/SNS.</span> </li> <li>Experience deploying serverless applications using AWS Lambda.</li> <li>Experience with Helm, ArgoCD, or GitOps workflows.</li> <li>Experience building Internal Developer Platforms (IDPs) or improving developer tooling.</li> <li>Experience with service mesh technologies such as Istio or Linkerd.</li> <li>Experience working in high-growth technology companies, e-commerce, or on-demand delivery platforms.</li> <li>AWS certifications are a plus.</li> </ul> <p> <br> </p> <p> <span>Why Toters?</span> </p> <ul> <li>Flexible work environment with hybrid-friendly roles.</li> <li>Opportunity to work across software engineering and cloud infrastructure, building systems that directly power Toters' products.</li> <li>Solve complex engineering challenges involving backend architecture, cloud infrastructure, automation, and distributed systems.</li> <li>Collaborate with talented engineers in a culture of ownership, mentorship, 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>

<p><h4>Aspire Software company overview</h4> <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> <h4>What you'll do</h4> <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> <h4>Requirements</h4> <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></p>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a AI 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> What you'll do: Ship AI features in our PHP/MySQL/React/Node stack with OpenAI API integration Extend our AI chatbot (Astro Core) with new capabilities like data visualization and analysis Help build out our external MCP connector (schema, auth, capabilities) Own prompt engineering as a core product discipline Build token metering, usage tracking, and tiered access controls Contribute to agent architecture: tool access, memory, token pool isolation Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar) into production apps Strong prompt engineering skills (system prompts, function calling, structured outputs) Understanding of token economics and usage-based product design Experience with metered/rate-limited systems or billing integration Solid PHP and MySQL experience — comfortable in an existing production codebase React/Node for frontend features; TypeScript for backend MCP work Nice to have: RAG/vector DB exposure, LangChain/LlamaIndex familiarity, SaaS or ad-tech background, prior work on customer-facing agents.<br></span> </div>

<p>Aspire Software is looking for a Data Scientist 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. About the job: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes. What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods. Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions. Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers. Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback. Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements. Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools. Tech Stack Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li><li>Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul>

<p>The ideal candidate will have a Bachelor s degree in computer science, Software Engineering, Information Technology, or a related field. Minimum 6 years of professional full-stack software development experience. Strong hands-on experience with React, Next.js, TypeScript, Node.js, and modern JavaScript frameworks. Solid experience designing and consuming RESTful APIs. Strong knowledge of PostgreSQL and relational database design. Excellent understanding of software architecture, data modeling, automated testing, debugging, and application performance optimization. Ability to analyze business requirements and proactively identify missing requirements, logical inconsistencies, and edge cases. Experience reviewing and improving AI-generated frontend and backend code. Strong problem-solving skills with excellent attention to detail. Excellent verbal and written communication skills.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in computer science, Software Engineering, Information Technology, or a related field.</li><li>Minimum 6 years of professional full-stack software development experience.</li><li>Strong hands-on experience with React, Next.js, TypeScript, Node.js, and modern JavaScript frameworks.</li><li>Solid experience designing and consuming RESTful APIs.</li><li>Strong knowledge of PostgreSQL and relational database design.</li><li>Excellent understanding of software architecture, data modeling, automated testing, debugging, and application performance optimization.</li><li>Ability to analyze business requirements and proactively identify missing requirements, logical inconsistencies, and edge cases.</li><li>Experience reviewing and improving AI-generated frontend and backend code.</li><li>Strong problem-solving skills with excellent attention to detail.</li><li>Excellent verbal and written communication skills.</li></ul><h3>Preferred Qualifications</h3><ul><li>Experience within FinTech, Digital Banking, Payments, Banking-as-a-Service (BaaS), or other regulated industries.</li><li>Experience designing approval workflows, authorization systems, customer onboarding (KYC), organizational hierarchies, or permission management platforms.</li><li>Hands-on experience with React Native mobile application development.</li><li>Experience integrating third-party financial APIs including KYC/AML providers, payment gateways, or card issuing platforms.</li><li>Familiarity with enterprise security principles and modern authentication systems.</li><li>Ability to understand and work with software written in Java, Kotlin, or C# when required.</li></ul><h3>AI-Driven Engineering Experience</h3><ul><li>Daily experience using AI coding assistants such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar platforms.</li><li>Strong prompt engineering skills to generate accurate and reliable AI-assisted code.</li><li>Experience reviewing, validating, and correcting AI-generated software.</li><li>The ability to distinguish between technically correct code and business-correct behavior, ensuring every feature meets user expectations and business objectives.</li></ul>

<p><h4>Aspire Software company overview</h4> <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> <h4>What you'll do</h4> <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> <h4>Requirements</h4> <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></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software.<br> EXUS launched it's Financial Suite (EFS) in 2003 with the aim to support financial entities worldwide to improve their results.<br> Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 52 countries worldwide ( MENA , EU , SEA ).<br> We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.<br> Our people constitute the source of inspiration that drives us forward and help us fulfill our purpose of being role models for a better world .<br> This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people.<br> We offer a creative, fun, and above all, inspiring working environment that fosters team spirit and promotes the greater good.<br> We are positive and eager to learn and explore.<br> We are committed to our vision.<br> Our shared Values: We are transparent and direct We are positive and fun, never cynical or sarcastic We are eager to learn and explore We put the greater good first We are frugal and we do not waste resources We are fanatically disciplined, we deliver on our promises We are EXUS!<br> Are you? We are currently seeking an experienced and enthusiastic Senior Software Engineer with strong technical skills in database development to join the Project Engineering Team remotely.<br> As a member of our Engineering Team, you will join an international team of highly skilled professionals that delivers global market-leading collection software and provides the best possible service to our clients worldwide.<br> If you are a results-focused engineer with not only strong technical skills but also customer focus, aspiring to work in an agile development environment, we certainly want to hear from you!<br> Responsibilities: Collaborate with the Delivery and Customer Success teams to implement, and improve the product Participate in the analysis, design, implementation, and review of product development modules Implement technical tasks for project delivery needs Work closely with the customer in order to define the best technical solutions for covering their business requirements Review and debug code At EXUS we help our people to achieve excellent results by creating a work environment that encourages individual and team success.<br> Fully remote work setup Competitive salary Inclusive work environment &amp; Well-being Program A clear induction program &amp; a mentoring buddy to help you Private health insurance Unlimited time off Privacy Notice for Job Applications: https://www.<br>exus.co.uk/en/careers/privacy-notice-f.<br>.. Bachelor's degree in ICT or Engineering At least 3 years of work experience in Database Development (Oracle, Postgress, SQL Server, etc.<br>) Customer-focused attitude with great attention to detail Always deliver on promises and respect deadlines Willingness and ability to work as part of a team Excellent communication and writing skills in English &amp; French Will be considered a plus: Master's degree in ICT or Engineering Good understanding of basic ETL principles.<br> Experience with server-side languages such as .<br>Net and Java Experience in IT Consulting or a similar field, preferably in the banking sector Web technologies and Internet protocols (XML, JSON, HTTP, TCP/IP) Client-side scripting and JavaScript frameworks Experience with Collection systems Experience with JIRA and Bitbucket Basic DBA skills Web Server familiarity (especially with IIS) **Ability to travel abroad, up to 20% annually, depending on project requirements and conditions**</span> </div>

We are currently recruiting for a Full-Stack Developer to join a British company on a fully remote basis. <br> <br>The ideal candidate should have solid hands-on experience with: <br> <br>Python <br>Django <br>Django REST Framework (DRF) <br>PostgreSQL <br>Redis <br>JavaScript <br>jQuery

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist 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: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Data Scientist 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: We are looking for a Senior Machine Learning Engineer who wants to own that evolution.<br> This is not a research-only role.<br> You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services.<br> Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.<br> What You'll Work On -Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.<br> Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.<br> Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.<br> Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.<br> Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior.<br> Trace customer-reported issues to their root cause and turn incidents into lasting improvements.<br> Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.<br> Tech Stack Python 3.<br>11, FastAPI, Pydantic, SQLAlchemy 2.<br>0, and Alembic PostgreSQL/Supabase and Redis Pandas, Polars, NumPy, and statsmodels OpenAI, Anthropic, LangChain, and LangGraph PredictHQ and multiple hotel PMS and market-data integrations AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch Docker, GitHub Actions, Prometheus, and PostHog Experience taking machine-learning systems from problem definition through production deployment and monitoring.<br> Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.<br> A solid foundation in statistics, experimentation, forecasting, and model evaluation.<br> Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.<br> Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.<br> Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.<br> Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.<br> A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.<br> The judgment to balance model sophistication with reliability, explainability, and business value.<br> Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.<br> Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.<br> A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.<br> Years of experience are a useful signal, but not the deciding factor.<br> We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.<br> Nice to Have You do not need everything on this list: Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.<br> Probabilistic demand forecasting or hierarchical Bayesian modeling.<br> Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.<br> Causal inference and off-policy evaluation.<br> Model drift, data-quality monitoring, and experiment-tracking systems.<br> Multi-tenant SaaS or event-driven architectures.<br> Debugging distributed systems and third-party integrations in production.<br> LLM applications and agentic workflows.<br> AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.<br> Hospitality experience is welcome, but not required.<br> We will help you learn the domain.<br> What We Value Speed with quality — Ship fast, but ship code and models a staff engineer would approve AI-native workflow — You don't just know about AI tools, you use them daily to write, debug, and architect Ownership — Pick up a problem and drive it to completion without hand-holding Simplicity — Elegant solutions over over-engineered ones.<br> Minimal code that does the job Curiosity — Our domain (hotel revenue optimization) has real depth.<br> You're excited to learn it</span> </div>

<p><h4>About the company</h4> <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> <h4>About the job</h4> <p>We are looking for a senior machine learning engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p> <h4>What you'll work on</h4> <ul> <li><strong>Pricing intelligence:</strong> Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li> <li><strong>Demand forecasting:</strong> Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li> <li><strong>Safe experimentation:</strong> Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li> <li><strong>Production ML:</strong> Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li> <li><strong>Problem-solving and customer investigations:</strong> Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li> <li><strong>Data and intelligent experiences:</strong> Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li> </ul> <h4>Tech stack</h4> <ul> <li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li> <li>PostgreSQL/Supabase and Redis</li> <li>Pandas, Polars, NumPy, and statsmodels</li> <li>OpenAI, Anthropic, LangChain, and LangGraph</li> <li>PredictHQ and multiple hotel PMS and market-data integrations</li> <li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li> <li>Docker, GitHub Actions, Prometheus, and PostHog</li> </ul> <h4>Requirements</h4> <ul> <li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li> <li>Strong Python and SQL skills, including experience building modular, typed, tested production software—not only exploratory notebooks.</li> <li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li> <li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li> <li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li> <li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li> <li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li> <li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li> <li>The judgment to balance model sophistication with reliability, explainability, and business value.</li> <li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li> <li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li> <li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li> <li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li> </ul> <h4>Nice to have</h4> <p>You do not need everything on this list:</p> <ul> <li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li> <li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li> <li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li> <li>Causal inference and off-policy evaluation.</li> <li>Model drift, data-quality monitoring, and experiment-tracking systems.</li> <li>Multi-tenant SaaS or event-driven architectures.</li> <li>Debugging distributed systems and third-party integrations in production.</li> <li>LLM applications and agentic workflows.</li> <li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li> <li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li> </ul> <h4>What we value</h4> <ul> <li>Speed with quality — ship fast, but ship code and models a staff engineer would approve.</li> <li>AI-native workflow — you don't just know about AI tools, you use them daily to write, debug, and architect.</li> <li>Ownership — pick up a problem and drive it to completion without hand-holding.</li> <li>Simplicity — elegant solutions over over-engineered ones. Minimal code that does the job.</li> <li>Curiosity — our domain (hotel revenue optimization) has real depth. You're excited to learn it.</li> </ul></p><p></p>

<p>Aspire Software is looking for a Data Scientist 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: We are looking for a Senior Machine Learning Engineer who wants to own that evolution. This is not a research-only role. You will frame problems, explore data, design models, build evaluation systems, investigate real customer issues, and ship production services. Your work will influence real pricing decisions and measurable hotel revenue not just dashboards or internal prototypes.</p><p>What You'll Work On</p><ul><li>Pricing intelligence: Advance our pricing engine using probabilistic forecasting, elasticity estimation, contextual bandits, reinforcement learning, and other appropriate optimization methods.</li><li>Demand forecasting: Improve booking-curve and final-occupancy forecasts, including uncertainty estimates that can inform safer pricing decisions.</li><li>Safe experimentation: Build historical replay, simulation, backtesting, shadow deployment, and controlled rollout capabilities to measure revenue impact before models affect customers.</li><li>Production ML: Turn models into reliable, tested, and observable Python services, owning the path from experimentation through deployment, monitoring, and rollback.</li><li>Problem-solving and customer investigations: Debug unexpected pricing, data, integration, and production behavior. Trace customer-reported issues to their root cause and turn incidents into lasting improvements.</li><li>Data and intelligent experiences: Strengthen the reservation, occupancy, competitor-rate, PMS, and event-data pipelines behind our decisions, while contributing to AI-powered explanations and revenue-manager tools.</li></ul><p>Tech Stack</p><ul><li>Python 3.11, FastAPI, Pydantic, SQLAlchemy 2.0, and Alembic</li><li>PostgreSQL/Supabase and Redis</li><li>Pandas, Polars, NumPy, and statsmodels</li><li>OpenAI, Anthropic, LangChain, and LangGraph</li><li>PredictHQ and multiple hotel PMS and market-data integrations</li><li>AWS ECS/Fargate, SQS, EventBridge, S3, and CloudWatch</li><li>Docker, GitHub Actions, Prometheus, and PostHog</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Experience taking machine-learning systems from problem definition through production deployment and monitoring.</li><li>Strong Python and SQL skills, including experience building modular, typed, tested production software not only exploratory notebooks.</li><li>A solid foundation in statistics, experimentation, forecasting, and model evaluation.</li><li>Experience working with time-dependent, noisy, incomplete, or imperfect real-world data.</li><li>Strong analytical problem-solving skills and a methodical approach to ambiguous technical issues.</li><li>Proven ability to debug production systems, including data pipelines, APIs, asynchronous jobs, integrations, and model behavior.</li><li>Experience investigating customer-reported issues, identifying root causes, and communicating findings clearly to technical and non-technical stakeholders.</li><li>A habit of improving systems after incidents through better tests, monitoring, documentation, safeguards, or architecture.</li><li>The judgment to balance model sophistication with reliability, explainability, and business value.</li><li>Comfort working with APIs, relational databases, containers, cloud infrastructure, and CI/CD.</li><li>Clear communication skills and an ability to work closely with engineers, product leaders, revenue-management experts, and customer-facing teams.</li><li>A high level of ownership: you can turn an ambiguous business or customer problem into a practical, measurable plan and carry it through to completion.</li><li>Years of experience are a useful signal, but not the deciding factor. We care more about what you have built, how you reason, and how you respond when models and systems meet the real world.</li></ul><p>Nice to Have</p><ul><li>You do not need everything on this list:</li><li>Contextual bandits, reinforcement learning, recommendation systems, bidding, or other sequential decision systems.</li><li>Probabilistic demand forecasting or hierarchical Bayesian modeling.</li><li>Pricing, revenue management, marketplaces, travel, hospitality, advertising, or e-commerce.</li><li>Causal inference and off-policy evaluation.</li><li>Model drift, data-quality monitoring, and experiment-tracking systems.</li><li>Multi-tenant SaaS or event-driven architectures.</li><li>Debugging distributed systems and third-party integrations in production.</li><li>LLM applications and agentic workflows.</li><li>AWS services such as ECS, SQS, EventBridge, S3, and CloudWatch.</li><li>Hospitality experience is welcome, but not required. We will help you learn the domain.</li></ul><p>What We Value</p><ul><li>Speed with quality: Ship fast, but ship code and models a staff engineer would approve</li><li>AI-native workflow: You don't just know about AI tools, you use them daily to write, debug, and architect</li><li>Ownership: Pick up a problem and drive it to completion without hand-holding</li><li>Simplicity: Elegant solutions over over-engineered ones. Minimal code that does the job</li><li>Curiosity: Our domain (hotel revenue optimization) has real depth. You're excited to learn it</li></ul>

<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 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>

<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>

<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>