Python Developer Jobs in Lebanon

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for a Senior Software 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> What your day will look like: A Computer Science/Software Engineering degree, or equivalent experience 5+ Years Overall Backend Development experience.<br> Demonstrated proficiency using AI tools for devlopment Node.<br>js (Nest.js/Next.js/Express) OR Python (Flask/Django), No SQL databases (MongoDB) Experience creating enterprise Web Applications on AWS with strong knowledge of: API Gateways, Lambda Function, Cognito, Amplify, Application Load Balancers, ECS/EKS Experience building AWS architectures for Web Applications using VPCs, IAM security policies, Kubernetes, Docker and MongoDB Atlas Excellent troubleshooting skills and ability to work under pressure (i.<br>e. site outages) You are detail and results-oriented, self-motivated, and persistent You have analytical, problem-solving, and decision-making skills Excellent interpersonal and communication (verbal and written) skills You enjoy a challenge and are curious, and with a passion for innovating .<br></span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Key Responsibilities</strong></p> <p>Team Leadership &amp; Development</p> <ul> <li>Lead and mentor 7+ cloud engineers.</li> <li>Implement competency frameworks and career growth plans.</li> <li>Foster an inclusive, innovative culture and scale recruitment.br&gt;</li> </ul> <p>Cloud Architecture &amp; Multi-Cloud Strategy</p> <ul> <li>Manage AWS, GCP, and Azure infrastructure.</li> <li>Develop technology roadmaps and optimize costs.</li> <li>Lead enterprise architecture and governance initiatives.</li> </ul> <p>Site Reliability &amp; Platform Engineering</p> <ul> <li>Implement SRE practices, CI/CD, and Infrastructure as Code.</li> <li>Drive automation, monitoring, and incident management.</li> </ul> <p>Strategic Planning &amp; Business Alignment</p> <ul> <li>Align infrastructure with business goals and budgets.</li> <li>Partner with Product, Engineering, and Security teams.</li> </ul> <p>Technical Operations &amp; Innovation</p> <ul> <li>Hands-on in architecture, containerization, and disaster recovery.</li> <li>Champion adoption of emerging cloud technologies.</li> </ul> <p><strong>Technical Skills (All Levels)</strong></p> <ul> <li>AWS (EC2, ECS/EKS, Lambda, RDS, S3), Terraform/CloudFormation, Kubernetes/Docker.</li> <li>CI/CD, DevOps, scripting (Python/Bash/Go), networking, security, monitoring.</li> </ul> <p><strong>Soft Skills</strong></p> <ul> <li>Communication, collaboration, problem-solving, adaptability.</li> <li>Senior level: strategic thinking, empathetic leadership, innovation.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Mid-Level:</p> <ul> <li>5+ years cloud engineering, 3+ years people management.</li> <li>Multi-cloud experience (AWS primary).</li> <li>Proven infrastructure scaling and team development experience.</li> </ul> <p>Senior-Level:</p> <ul> <li>7+ years cloud engineering, 5+ years leading teams.</li> <li>Expert multi-cloud management, enterprise scaling.</li> <li>Experience in competency frameworks and strategic initiatives.</li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>1- Deliverable 1: A high-dimensional analytical matrix capturing structural proximity and relatedness across the production universe, serving as an interactive-visual network diagnostic asset to identify diversification-linked financing opportunities and associated exposure to illicit financial flow risks. 2- Deliverable 2: Apply data-driven models to prioritize products and sectors based on national capability structures. The deliverable will include a technical note identifying strategically linked products, feasible diversification pathways, financing opportunities, and potential finance entry points, while applying rigorous filters to exclude spurious, non-productive, or phantom investment-driven linkages. 3- Deliverable 3: A diagnostic report identifying high-potential product pathways while highlighting sectors structurally vulnerable to illicit financial flows. 4- Deliverable 4: A Python-based Inter-sectoral Structural Coefficients framework that transforms raw bilateral investment statistics into a standardized long-panel dataset for gravity-model analysis and detection of disguised flows. 5- Deliverable 5: A sector and product clustering matrix-based industries and products with similar production structures, supplier dependencies, and capability requirements. 6- Deliverable 6: Excel file and summary report assessing cluster-level production values, priority manufacturing ecosystems, high-value product groups, and opportunities for industrial upgrading and investment targeting. 7- Deliverable 7: Revised summary report incorporating FfD comments. 8- Deliverable 8: An econometric modeling framework to assess structural feasibility, upgrading potential, and capability spillovers across interconnected products and sectors. 9- Deliverable 9: Revised output (deliverable 7) incorporating FfD comments 10- Deliverable 10: Excel file and summary report assessing and synthesizing the outputs of the econometric models. 11- Other deliverables related to the tasks mentioned above as requested by the Hiring Manager including, but not limited to, graphs, charts, briefings, excel files, tables, etc.<br> Work Location<br>Hybrid<br> Expected duration<br>8 months<br> Duties and Responsibilities<br>Background ESCWA supports Arab countries in strengthening national and regional financing systems to accelerate progress toward the 2030 Agenda for sustainable development. Through an integrated approach that combines policy dialogue, analytical research, capacity-building, and digital innovation, ESCWA assists member States in mobilizing and managing financing across key sources, including domestic public resources, private investment, international development cooperation, trade and investment flows, and sustainable debt management. This work is aligned with global commitments, including the Seville Commitment, which underscores the importance of strengthening accountability and governance in financing development, as well as the mandates to address financing leakages as a key enabler of financing sustainable development. (paragraphs 29 (a) &amp; (c), 28 (e), and 33 (a)). Central to this work is the conduct of detailed diagnostics of the financing for development landscape, analysing the various sources of financing available to address five major financing rifts that continue to impede sustainable development in the Arab region: financing insolvencies, financing inequalities, fiscal space constraints, funding shortfalls, and debt-financing overhangs. In response, ESCWA advances regional cooperation on domestic resource mobilization, integrated financing solutions, diversifying sources of revenues and addressing leakages related to illicit financial flows and investment distortions. These efforts are complemented by policy recommendations and practical tools to support governments in improving revenue mobilization and financing strategies. In parallel, ESCWA has developed a forward-looking digital financing ecosystem composed of analytical and AI-powered tools that enable governments assess financing gaps, improve spending efficiency, optimize public spending, address illicit financial flows, strengthen multiple aspects of their financing strategies, enhance policy targeting, accelerate progress towards the SDGs, and design integrated financing strategies aligned with national development priorities. This ecosystem has received recognition at multiple institutional levels and has been endorsed under the Seville Platform of Action and recognized by DESA as a scalable, real-life application that can be adapted and replicated across countries and regions. Within this context, ESCWA seeks a consultant to provide support in the implementation of various FfD activities as detailed below. Duties and Responsibilities 1- Map productive linkages across pilot country/countries’ production base and financing structure to identify sectoral interdependencies, financing bottlenecks, and opportunities for higher-value economic transformation. 2- Estimate latent financing-space linkages by combining prospective structural configurations, visualization tools, and empirical signals of capability-space adjacency to identify feasible pathways for economic diversification and financing mobilization for blended finance while addressing resource leakages. 3- Construct and align a high-dimensional proximity matrix across the production universe, integrating relevant product, sectoral, industrial, and financing classification systems to enable comparable mapping of productive and financing linkages, identify tax- and trade-based leakage channels, and detect unrealized or suboptimally realized productive potential. 4- Normalize and validate the matrix to ensure connectivity, consistency, and suitability for modelling and network diagnostics. 5- Develop a structural scoring framework to assess relative feasibility, productive accessibility, and strategic positioning of diversified commodity-linked financing opportunities, while identifying products and sectors exposed to illicit financial flow risks. 6- Design and implement a Python-based analytical framework to query, harmonize, and transform relevant investment datasets into a standardized panel, supporting downstream empirical analysis and the identification of potential anomalies in investment patterns. 7- Apply data-driven analytical methods to identify patterns, groupings and relationships across sectors and products based on selected structural and operational characteristics. 8- Integrate Product-level production indicators to assess economic trends, identify priority areas, and highlight sector-focused policy support. 9- Develop and apply econometric models to assess structural feasibility, between proximate products across inter-connected products and sectors. This includes: o Preparing panel dataset of products’ competitiveness and production indicators. o Integrating structural linkage and proximity matrices into the modelling framework. o Estimating econometric models to analyse the evolution of production and structural upgrading patterns. o Assessing productive feasibility and upgrading opportunities, across interconnected sectors and products. 10- Generate and assess alternative upgrading pathways based on econometric modelling results. 11- Other related tasks related to the deliverables below as requested by the Hiring Manager.<br> Qualifications/special skills<br>A master’s degree or equivalent in economics, finance, econometrics, business analytics, or related field is required. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1.5 years of professional work experience in analyzing macro-financing and industrial policy issues, particularly data-driven, microfinancing and econometric modeling, is required. One year of previous work experience in research, data analytics, and data analysis is required. One year of experience in research, data extraction or using statistical tools is required. Knowledge of STATA statistical package to process and analyze data is required. Knowledge of Python, machine learning techniques is required. Good knowledge of econometrics is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in both English and Arabic languages are required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<p>About the Role We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond. What You'll Do Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure) Build and maintain CI/CD pipelines for fast, safe, automated deployments Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments Containerize and orchestrate services (Docker, Kubernetes) as the system grows Set up observability: monitoring, logging, alerting, and tracing across the stack Manage and optimize the cost, latency, and reliability of LLM and AI workloads Own security, secrets management, and access controls across environments Establish backup, disaster-recovery, and incident-response practices for the pilot</p><p><strong>Desired Candidate Profile</strong></p><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul>

<p>We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.</p><p>What You'll Do</p><ul><li>Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure)</li><li>Build and maintain CI/CD pipelines for fast, safe, automated deployments</li><li>Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments</li><li>Containerize and orchestrate services (Docker, Kubernetes) as the system grows</li><li>Set up observability: monitoring, logging, alerting, and tracing across the stack</li><li>Manage and optimize the cost, latency, and reliability of LLM and AI workloads</li><li>Own security, secrets management, and access controls across environments</li><li>Establish backup, disaster-recovery, and incident-response practices for the pilot</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications</p><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>About Namou Properties Namou Properties is a growing real estate company focused on innovation, smart investment opportunities, and building data-driven systems that improve how we operate and scale.<br> About the Role We are looking for a detail-oriented Remote QA Engineer to join the team behind our internal ERP platform.<br> You will be responsible for ensuring the quality, reliability, and data integrity of a system that supports core business operations.<br> This role combines manual and automated testing, close collaboration with developers and the product team, and a strong emphasis on clear documentation and communication.<br> Key Responsibilities Design, write, and execute test cases for new features and enhancements across ERP modules Perform integration testing to validate how different modules and external systems exchange data Automate repetitive test scenarios using tools such as Selenium Write SQL queries to verify data accuracy and integrity across database tables Test backend services and RESTful APIs using tools such as Postman Document, track, and manage bugs through their full lifecycle, following the team's workflow Investigate complex system issues, isolate root causes, and communicate findings clearly to developers and stakeholders Participate in sprint planning and UAT cycles, and contribute to improving QA processes and test documentation Maintain organized, well-structured records of test cases, bug reports, and QA processes Why Join Namou Properties Fully remote role with flexibility and autonomy Opportunity to work on real ERP automation and data-driven systems that directly impact business operations Exposure to modern technologies, automation tools, AI solutions, and scalable business platforms High ownership role where your contributions will directly improve how the company operates and grows Collaborative environment with close interaction with developers, product teams, and business stakeholders Competitive compensation with opportunities for professional growth and career development 1–3 years of experience in software quality assurance or testing Understanding of core business processes (e.<br>g., inventory, supply, sales) and how they flow through ERP systems Hands-on experience with integration testing across modules and external systems Working knowledge of test automation tools such as Selenium Ability to write SQL queries to validate data accuracy and integrity Solid understanding of APIs and RESTful services, with experience using Postman or similar tools Basic scripting knowledge (e.<br>g., Python, JavaScript) to support test automation Strong analytical thinking and root-cause analysis skills Excellent written and verbal communication skills for reporting bugs and issues clearly Highly organized, with strong documentation habits for bugs, processes, and test cases Nice to Have Experience documenting and managing bugs in Jira Exposure to ERP, CRM, or other enterprise business systems</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>We're looking for a mid-level AI product engineer to join the RentWorks Plus team. You'll sit at the intersection of QA, AI automation, and product engineering — designing automated test suites, building intelligent workflows, and creating AI-powered tools that directly shape how our customers experience the product.</p> <h4>What you'll be doing</h4> <ul> <li>Design, build, and maintain automated end-to-end test suites using Playwright</li> <li>Write and maintain BDD-style tests using Cucumber (Gherkin)</li> <li>Build and manage N8N automation workflows for testing pipelines, customer support, sales, and internal ops</li> <li>Maintain an automated quality dashboard with scheduled test runs, health checks, and trend reporting</li> <li>Develop AI-powered features using Claude AI — smart test generation, failure triage, and support agents</li> <li>Evolve the RW+ AI customer support agent and HubSpot integrations</li> <li>Contribute to product features on the React front-end and NestJS back-end</li> <li>Collaborate with product and engineering teams to translate business needs into scalable automated solutions</li> </ul> <h4>Requirements</h4> <ul> <li>3–5 years of software engineering or QA automation experience</li> <li>Hands-on experience with Playwright or similar E2E testing frameworks</li> <li>Experience with Cucumber, Gherkin, or other BDD frameworks</li> <li>Proficiency in Python for scripting and automation</li> <li>Knowledge of Pytest, Jest, or Vitest for test automation</li> <li>Experience with API testing tools: Postman, Supertest, or REST Assured</li> <li>Familiarity with N8N or similar workflow automation tools</li> <li>Experience working with LLM APIs (Claude, OpenAI, or similar)</li> <li>Solid understanding of REST APIs, webhooks, and integration patterns</li> <li>Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) for automated test integration</li> <li>Experience with test reporting tools such as Allure or HTML reporters</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with React and NestJS</li> <li>Familiarity with HubSpot integrations or CRM automation</li> <li>Experience with prompt engineering and AI agent design</li> <li>Familiarity with Docker, CI/CD, or DevOps basics</li> <li>Background in SaaS or B2B enterprise software</li> </ul> <h4>Bonus: Car rental domain knowledge</h4> <p>Candidates with car rental industry experience are strongly preferred:</p> <ul> <li>Experience building or working with car rental / fleet management software</li> <li>Knowledge of reservations, rental agreements, rate management, CDW/LDW/PAI, ACRISS classification</li> <li>Prior exposure to platforms like RentWorks, Thermeon, or similar RMS solutions</li> <li>Understanding of RevPAD, Direct Bill, or channel management concepts</li> </ul></p><p></p>

<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>

<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: We're looking for a mid-level AI Product Engineer to join the RentWorks Plus team.<br> You'll sit at the intersection of QA, AI automation, and product engineering — designing automated test suites, building intelligent workflows, and creating AI-powered tools that directly shape how our customers experience the product.<br> What You'll Be Doing Design, build, and maintain automated end-to-end test suites using Playwright Write and maintain BDD-style tests using Cucumber (Gherkin) Build and manage N8N automation workflows for testing pipelines, customer support, sales, and internal ops Maintain an automated quality dashboard with scheduled test runs, health checks, and trend reporting Develop AI-powered features using Claude AI — smart test generation, failure triage, and support agents Evolve the RW+ AI Customer Support Agent and HubSpot integrations Contribute to product features on the React front-end and NestJS back-end Collaborate with product and engineering teams to translate business needs into scalable automated solutions 3–5 years of software engineering or QA automation experience Hands-on experience with Playwright or similar E2E testing frameworks Experience with Cucumber, Gherkin, or other BDD frameworks Proficiency in Python for scripting and automation Knowledge of Pytest, Jest, or Vitest for test automation Experience with API testing tools: Postman, Supertest, or REST Assured Familiarity with N8N or similar workflow automation tools Experience working with LLM APIs (Claude, OpenAI, or similar) Solid understanding of REST APIs, webhooks, and integration patterns Familiarity with CI/CD pipelines (GitHub Actions, Jenkins) for automated test integration Experience with test reporting tools such as Allure or HTML reporters Nice to Have Experience with React and NestJS Familiarity with HubSpot integrations or CRM automation Experience with prompt engineering and AI agent design Familiarity with Docker, CI/CD, or DevOps basics Background in SaaS or B2B enterprise software Bonus: Car Rental Domain Knowledge Candidates with car rental industry experience are strongly preferred: Experience building or working with car rental / fleet management software Knowledge of reservations, rental agreements, rate management, CDW/LDW/PAI, ACRISS classification Prior exposure to platforms like RentWorks, Thermeon, or similar RMS solutions Understanding of RevPAD, Direct Bill, or channel management concepts</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Background</strong> ESCWA supports Arab countries in strengthening national and regional financing systems to accelerate progress toward the 2030 Agenda for sustainable development. Through an integrated approach that combines policy dialogue, analytical research, capacity-building, and digital innovation, ESCWA assists member States in mobilizing and managing financing across key sources, including domestic public resources, private investment, international development cooperation, trade and investment flows, and sustainable debt management. This work is aligned with global commitments, including the Seville Commitment, which underscores the importance of strengthening accountability and governance in financing development, as well as the mandates to address financing leakages as a key enabler of financing sustainable development. (paragraphs 29 (a) &amp; (c), 28 (e), and 33 (a)). Central to this work is the conduct of detailed diagnostics of the financing for development landscape, analysing the various sources of financing available to address five major financing rifts that continue to impede sustainable development in the Arab region: financing insolvencies, financing inequalities, fiscal space constraints, funding shortfalls, and debt-financing overhangs. In response, ESCWA advances regional cooperation on domestic resource mobilization, integrated financing solutions, diversifying sources of revenues and addressing leakages related to illicit financial flows and investment distortions. These efforts are complemented by policy recommendations and practical tools to support governments in improving revenue mobilization and financing strategies. In parallel, ESCWA has developed a forward-looking digital financing ecosystem composed of analytical and AI-powered tools that enable governments assess financing gaps, improve spending efficiency, optimize public spending, address illicit financial flows, strengthen multiple aspects of their financing strategies, enhance policy targeting, accelerate progress towards the SDGs, and design integrated financing strategies aligned with national development priorities. This ecosystem has received recognition at multiple institutional levels and has been endorsed under the Seville Platform of Action and recognized by DESA as a scalable, real-life application that can be adapted and replicated across countries and regions. Within this context, ESCWA seeks a consultant to provide support in the implementation of various FfD activities as detailed below.</p><p><strong>Duties and Responsibilities</strong></p><ol><li>Map productive linkages across pilot country/countries production base and financing structure to identify sectoral interdependencies, financing bottlenecks, and opportunities for higher-value economic transformation.</li><li>Estimate latent financing-space linkages by combining prospective structural configurations, visualization tools, and empirical signals of capability-space adjacency to identify feasible pathways for economic diversification and financing mobilization for blended finance while addressing resource leakages.</li><li>Construct and align a high-dimensional proximity matrix across the production universe, integrating relevant product, sectoral, industrial, and financing classification systems to enable comparable mapping of productive and financing linkages, identify tax- and trade-based leakage channels, and detect unrealized or suboptimally realized productive potential.</li><li>Normalize and validate the matrix to ensure connectivity, consistency, and suitability for modelling and network diagnostics.</li><li>Develop a structural scoring framework to assess relative feasibility, productive accessibility, and strategic positioning of diversified commodity-linked financing opportunities, while identifying products and sectors exposed to illicit financial flow risks.</li><li>Design and implement a Python-based analytical framework to query, harmonize, and transform relevant investment datasets into a standardized panel, supporting downstream empirical analysis and the identification of potential anomalies in investment patterns.</li><li>Apply data-driven analytical methods to identify patterns, groupings and relationships across sectors and products based on selected structural and operational characteristics.</li><li>Integrate Product-level production indicators to assess economic trends, identify priority areas, and highlight sector-focused policy support.</li><li>Develop and apply econometric models to assess structural feasibility, between proximate products across inter-connected products and sectors. This includes:<ul><li>Preparing panel dataset of products competitiveness and production indicators.</li><li>Integrating structural linkage and proximity matrices into the modelling framework.</li><li>Estimating econometric models to analyse the evolution of production and structural upgrading patterns.</li><li>Assessing productive feasibility and upgrading opportunities, across interconnected sectors and products.</li></ul></li><li>Generate and assess alternative upgrading pathways based on econometric modelling results.</li><li>Other related tasks related to the deliverables below as requested by the Hiring Manager.</li></ol></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>A master's degree or equivalent in economics, finance, econometrics, business analytics, or related field is required. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed.</li><li>A minimum of 1.5 years of professional work experience in analyzing macro-financing and industrial policy issues, particularly data-driven, microfinancing and econometric modeling, is required.</li><li>One year of previous work experience in research, data analytics, and data analysis is required.</li><li>One year of experience in research, data extraction or using statistical tools is required.</li><li>Knowledge of STATA statistical package to process and analyze data is required.</li><li>Knowledge of Python, machine learning techniques is required.</li><li>Good knowledge of econometrics is desirable.</li><li>Fluency in both English and Arabic languages are required.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>We’re Hiring: AI Software Engineer</b></p><p><br></p><p><b>Industry: AI / LLM Systems / Production-Grade Applications</b></p><p><br></p><p><b>About the Role</b></p><p><br></p><p>We are building production-grade AI systems powered by large language models. We are looking for an <b>AI Software Engineer</b> who deeply understands LLM behavior and can design reliable, efficient, and measurable AI systems not just call APIs. You will architect multi-step agent workflows, improve determinism, reduce hallucinations, and build evaluation systems that continuously measure accuracy and performance.</p><p><br></p><p><b>What You’ll Do</b></p><p><br></p><ul><li>Design and implement multi-step agent workflows</li><li>Build robust tool-calling systems for database interactions</li><li>Engineer context systems (schema compression, retrieval pipelines, token budgeting)</li><li>Improve structured output reliability (JSON schemas, function calls, validation)</li><li>Reduce hallucinations and improve model determinism</li><li>Generate and optimize complex SQL queries (joins, CTEs, performance tuning)</li><li>Build evaluation harnesses and regression testing systems for prompts</li><li>Benchmark models (Claude, GPT, Gemini, etc.)</li><li>Optimize token usage and latency</li></ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>What We’re Looking For</b></p><p><br></p><p><b>Core Requirements</b></p><p><br></p><ul><li>Deep understanding of LLM behavior (not just API usage)</li><li>Experience with agent frameworks (Claude Agents SDK, LangChain, Agno, etc.)</li><li>Strong prompt and context architecture experience</li><li>Structured outputs and validation systems</li><li>Strong SQL skills (joins, CTEs, performance optimization)</li><li>Strong Python skills</li></ul><p><b>Bonus Points</b></p><ul><li>You’ve shipped an LLM system to production</li><li>You’ve built evaluation systems</li><li>You’ve deployed production conversational chat AIs</li></ul><p><br></p><p><b><span></span>Success Metrics</b></p><p><br></p><p>We care about measurable results:</p><ul><li>Improved model accuracy</li><li>Reduced hallucination rate</li><li>Lower token usage per query</li><li>Faster response times</li><li>Clean, well-reasoned system design</li></ul></div>

<p>About the Role We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience. What You'll Do Build and ship the web application across frontend and backend, from UI components to APIs and data models Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE) Develop backend services: authentication, session management, data persistence, and third-party integrations Integrate AI and multi-agent services into the product in partnership with the AI Engineer Design and maintain databases and API contracts that scale with product complexity Own performance, reliability, and security across the stack Translate product and design requirements into well-tested, maintainable features Move fast in an early-stage environment, balancing speed with quality</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications 4+ years of full-stack software engineering experience Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred) Solid backend experience (Node.js, Python, or similar) building and consuming APIs Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.) Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs Understanding of authentication, authorization, and secure data handling Experience integrating third-party APIs, ideally including LLM or AI services Comfort owning features end-to-end with minimal oversight</p>

<p>About the Role We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience.</p><p>What You'll Do</p><ul><li>Build and ship the web application across frontend and backend, from UI components to APIs and data models</li><li>Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE)</li><li>Develop backend services: authentication, session management, data persistence, and third-party integrations</li><li>Integrate AI and multi-agent services into the product in partnership with the AI Engineer</li><li>Design and maintain databases and API contracts that scale with product complexity</li><li>Own performance, reliability, and security across the stack</li><li>Translate product and design requirements into well-tested, maintainable features</li><li>Move fast in an early-stage environment, balancing speed with quality</li></ul><p><strong>Desired Candidate Profile</strong></p><p><b>Qualifications</b></p><ul><li>4+ years of full-stack software engineering experience</li><li>Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred)</li><li>Solid backend experience (Node.js, Python, or similar) building and consuming APIs</li><li>Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.)</li><li>Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs</li><li>Understanding of authentication, authorization, and secure data handling</li><li>Experience integrating third-party APIs, ideally including LLM or AI services</li><li>Comfort owning features end-to-end with minimal oversight</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>1- Deliverable 1: A high-dimensional analytical matrix capturing structural proximity and relatedness across the production universe, serving as an interactive-visual network diagnostic asset to identify diversification-linked financing opportunities and associated exposure to illicit financial flow risks. 2- Deliverable 2: Apply data-driven models to prioritize products and sectors based on national capability structures. The deliverable will include a technical note identifying strategically linked products, feasible diversification pathways, financing opportunities, and potential finance entry points, while applying rigorous filters to exclude spurious, non-productive, or phantom investment-driven linkages. 3- Deliverable 3: A diagnostic report identifying high-potential product pathways while highlighting sectors structurally vulnerable to illicit financial flows. 4- Deliverable 4: A Python-based Inter-sectoral Structural Coefficients framework that transforms raw bilateral investment statistics into a standardized long-panel dataset for gravity-model analysis and detection of disguised flows. 5- Deliverable 5: A sector and product clustering matrix-based industries and products with similar production structures, supplier dependencies, and capability requirements. 6- Deliverable 6: Excel file and summary report assessing cluster-level production values, priority manufacturing ecosystems, high-value product groups, and opportunities for industrial upgrading and investment targeting. 7- Deliverable 7: Revised summary report incorporating FfD comments. 8- Deliverable 8: An econometric modeling framework to assess structural feasibility, upgrading potential, and capability spillovers across interconnected products and sectors. 9- Deliverable 9: Revised output (deliverable 7) incorporating FfD comments 10- Deliverable 10: Excel file and summary report assessing and synthesizing the outputs of the econometric models. 11- Other deliverables related to the tasks mentioned above as requested by the Hiring Manager including, but not limited to, graphs, charts, briefings, excel files, tables, etc.<br> Work Location<br>Remote<br> Expected duration<br>8 months<br> Duties and Responsibilities<br>Background ESCWA supports Arab countries in strengthening national and regional financing systems to accelerate progress toward the 2030 Agenda for sustainable development. Through an integrated approach that combines policy dialogue, analytical research, capacity-building, and digital innovation, ESCWA assists member States in mobilizing and managing financing across key sources, including domestic public resources, private investment, international development cooperation, trade and investment flows, and sustainable debt management. This work is aligned with global commitments, including the Seville Commitment, which underscores the importance of strengthening accountability and governance in financing development, as well as the mandates to address financing leakages as a key enabler of financing sustainable development. (paragraphs 29 (a) &amp; (c), 28 (e), and 33 (a)). Central to this work is the conduct of detailed diagnostics of the financing for development landscape, analysing the various sources of financing available to address five major financing rifts that continue to impede sustainable development in the Arab region: financing insolvencies, financing inequalities, fiscal space constraints, funding shortfalls, and debt-financing overhangs. In response, ESCWA advances regional cooperation on domestic resource mobilization, integrated financing solutions, diversifying sources of revenues and addressing leakages related to illicit financial flows and investment distortions. These efforts are complemented by policy recommendations and practical tools to support governments in improving revenue mobilization and financing strategies. In parallel, ESCWA has developed a forward-looking digital financing ecosystem composed of analytical and AI-powered tools that enable governments assess financing gaps, improve spending efficiency, optimize public spending, address illicit financial flows, strengthen multiple aspects of their financing strategies, enhance policy targeting, accelerate progress towards the SDGs, and design integrated financing strategies aligned with national development priorities. This ecosystem has received recognition at multiple institutional levels and has been endorsed under the Seville Platform of Action and recognized by DESA as a scalable, real-life application that can be adapted and replicated across countries and regions. Within this context, ESCWA seeks a consultant to provide support in the implementation of various FfD activities as detailed below. Duties and Responsibilities 1- Map productive linkages across pilot country/countries’ production base and financing structure to identify sectoral interdependencies, financing bottlenecks, and opportunities for higher-value economic transformation. 2- Estimate latent financing-space linkages by combining prospective structural configurations, visualization tools, and empirical signals of capability-space adjacency to identify feasible pathways for economic diversification and financing mobilization for blended finance while addressing resource leakages. 3- Construct and align a high-dimensional proximity matrix across the production universe, integrating relevant product, sectoral, industrial, and financing classification systems to enable comparable mapping of productive and financing linkages, identify tax- and trade-based leakage channels, and detect unrealized or suboptimally realized productive potential. 4- Normalize and validate the matrix to ensure connectivity, consistency, and suitability for modelling and network diagnostics. 5- Develop a structural scoring framework to assess relative feasibility, productive accessibility, and strategic positioning of diversified commodity-linked financing opportunities, while identifying products and sectors exposed to illicit financial flow risks. 6- Design and implement a Python-based analytical framework to query, harmonize, and transform relevant investment datasets into a standardized panel, supporting downstream empirical analysis and the identification of potential anomalies in investment patterns. 7- Apply data-driven analytical methods to identify patterns, groupings and relationships across sectors and products based on selected structural and operational characteristics. 8- Integrate Product-level production indicators to assess economic trends, identify priority areas, and highlight sector-focused policy support. 9- Develop and apply econometric models to assess structural feasibility, between proximate products across inter-connected products and sectors. This includes: o Preparing panel dataset of products’ competitiveness and production indicators. o Integrating structural linkage and proximity matrices into the modelling framework. o Estimating econometric models to analyse the evolution of production and structural upgrading patterns. o Assessing productive feasibility and upgrading opportunities, across interconnected sectors and products. 10- Generate and assess alternative upgrading pathways based on econometric modelling results. 11- Other related tasks related to the deliverables below as requested by the Hiring Manager.<br> Qualifications/special skills<br>A master’s degree or equivalent in economics, finance, econometrics, business analytics, or related field is required. A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1.5 years of professional work experience in analyzing macro-financing and industrial policy issues, particularly data-driven, microfinancing and econometric modeling, is required. One year of previous work experience in research, data analytics, and data analysis is required. One year of experience in research, data extraction or using statistical tools is required. Knowledge of STATA statistical package to process and analyze data is required. Knowledge of Python, machine learning techniques is required. Good knowledge of econometrics is desirable.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in both English and Arabic languages are required. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>Not available.<br> No Fee<br>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS’ BANK ACCOUNTS.<br><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for a DevOps Engineer to build the infrastructure foundation that keeps our AI-powered product fast, reliable, secure, and cost-efficient. You'll set up the cloud, deployment, and monitoring systems that let a small team ship confidently and scale smoothly through the pilot and beyond.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design, provision, and manage cloud infrastructure (AWS, GCP, or Azure)</li><li>Build and maintain CI/CD pipelines for fast, safe, automated deployments</li><li>Implement infrastructure-as-code (Terraform, Pulumi, or similar) for reproducible environments</li><li>Containerize and orchestrate services (Docker, Kubernetes) as the system grows</li><li>Set up observability: monitoring, logging, alerting, and tracing across the stack</li><li>Manage and optimize the cost, latency, and reliability of LLM and AI workloads</li><li>Own security, secrets management, and access controls across environments</li><li>Establish backup, disaster-recovery, and incident-response practices for the pilot</li></ul><br>Qualifications<br><ul><li>4+ years of DevOps, SRE, or infrastructure engineering experience</li><li>Strong hands-on experience with at least one major cloud provider (AWS/GCP/Azure)</li><li>Proficiency with infrastructure-as-code tools (Terraform, Pulumi, CloudFormation)</li><li>Experience with containerization and orchestration (Docker, Kubernetes)</li><li>Solid CI/CD experience (GitHub Actions, GitLab CI, CircleCI, or similar)</li><li>Strong scripting skills (Bash, Python, or Go)</li><li>Experience implementing monitoring and observability tooling (Prometheus, Grafana, Datadog, etc.)</li><li>Security-first mindset and experience with secrets and access management</li></ul><br>Additional Information<br><ul><li>Experience managing infrastructure for AI/ML or LLM-heavy workloads</li><li>Familiarity with cost optimization for high-throughput API usage</li><li>Experience with GPU infrastructure or inference serving</li><li>Early-stage experience standing up infrastructure from scratch</li></ul><br><br> </div>

<p>About the Role We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><p>What You'll Do</p><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li><li>Monitor, debug, and improve system performance, token efficiency, and guardrails</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Qualifications</p><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul>

<p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><p><b>What You'll Do</b></p><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li><li>Monitor, debug, and improve system performance, token efficiency, and guardrails</li></ul><p><strong>Desired Candidate Profile</strong></p><p>3+ years of software engineering experience, with hands-on work building LLM-powered applications</p><p>Strong proficiency in Python and/or TypeScript/JavaScript</p><p>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</p><p>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</p><p>Understanding of multi-agent systems, tool use, and function calling</p><p>Experience designing evaluation and testing strategies for non-deterministic AI outputs</p><p>Solid grasp of API design, async processing, and scalable backend architecture</p><p>Comfort working in a fast-moving, ambiguous, early-stage environment</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>Software engineer (backend)</h4> <p>We're hiring a backend software engineer to design, build, and maintain the server-side systems that power our products. You'll own APIs, services, and data layers—writing clean, reliable code and shipping features that scale. We embrace modern AI-assisted development tools to work faster and smarter, and you'll be encouraged to use them.</p> <h4>Responsibilities</h4> <ul> <li>Design, build, and maintain backend services, APIs, and databases</li> <li>Write clean, testable, well-documented code</li> <li>Optimize applications for performance, scalability, and reliability</li> <li>Collaborate with frontend engineers, product, and design to deliver features</li> <li>Participate in code reviews, architecture discussions, and on-call rotations as needed</li> </ul> <h4>Requirements</h4> <ul> <li>Strong programming skills in one or more backend languages (e.g. Python, Go, Java, Node.js)</li> <li>Experience designing and building RESTful or GraphQL APIs</li> <li>Solid understanding of databases (SQL and/or NoSQL) and data modeling</li> <li>Familiarity with version control, testing, and CI/CD practices</li> <li>Comfortable using AI-assisted development tools (e.g. GitHub Copilot, Claude) to boost productivity</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with cloud platforms (AWS, GCP, or Azure)</li> <li>Knowledge of containerization and orchestration (Docker, Kubernetes)</li> <li>Familiarity with microservices architecture</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 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Aspire Software is looking for an 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> About the job: This is a builder role for someone obsessed with what agents can actually do in production.<br> 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.<br> You won't just be wiring up LLM calls.<br> 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.<br> Key Responsibilities 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 Architect tool-using agents with reliable planning, execution, and recovery Build the supporting infrastructure: RAG pipelines, vector search, evals, prompt management, traceability, and cost/latency monitoring Partner with product and design to translate agentic capabilities into UX that members actually use and trust Establish patterns and primitives so the rest of the engineering team can ship agent-powered features confidently Stay on the frontier — evaluate new models, frameworks, and techniques and bring the ones that matter into production 3 - 5 years of experience Production experience building agentic systems with LLMs — not just chat wrappers, but agents that plan, use tools, and complete multi-step tasks Deep familiarity with at least one major LLM API (Anthropic, OpenAI, or equivalent), including tool use / function calling, structured outputs, and streaming Experience designing and running evals for non-deterministic systems Strong software engineering fundamentals — TypeScript/Python, modern web stack, API design Pragmatic judgment about when to use agents, when to use simpler pipelines, and when not to use AI at all</span> </div>