Printing Engineer Jobs - Beirut Lebanon

Job Summary: <br>We are seeking a Procurement Engineer to join our team. In this role, he/she will be responsible for managing project sourcing activities within MMG. This includes sourcing and acquiring goods and services, negotiating prices, and ensuring that all procurement activities align with company policies and strategic objectives. <br>He/she will play a key role in optimizing procurement performance, supporting project timelines, and maintaining strong supplier relationships. The ideal candidate will have strong negotiation skills, a sharp eye for detail, a solid understanding of procurement processes, and a technical background to support effective decision-making. <br> <br> <br>Key Responsibilities: <br>1. Procurement Management: <br>o Identify and evaluate suppliers, negotiate prices, and place orders for goods and services needed by the clients or Operations Departments or Energy Solutions Department. <br>o Ensure timely delivery of goods and services and resolve any related issues. <br>o Maintain accurate records of procurement activities and transactions. <br>o Conduct market research to identify trends and pricing information. <br>o Continuously expand the supply chain network and their credit lines of the company in compliance with set policies and procedures. <br>o Conduct annual tenders for supply of goods as applicable. <br>2. Supplier Relations: <br>o Develop and maintain strong relationships with suppliers and vendors. <br>o Monitor supplier performance and address any issues or concerns promptly. <br>3. Contract Management: <br>o Draft, review, and negotiate contracts and agreements with suppliers, as applicable. <br>o Ensure that all agreements comply with company policies and legal requirements. <br>o Manage contract renewals and amendments as necessary. <br>4. Compliance and Documentation: <br>o Ensure all procurement activities adhere to company policies, procedures, and regulatory requirements. <br>5. Collaboration: <br>o Work closely with other departments, including Operations and Energy Solutions Departments, to understand their needs and requirements. <br>o Assist in the development and implementation of procurement strategies and policies. <br>Qualifications: <br>• Bachelor’s degree in Civil Engineering. <br>• 5 years of experience, including at least 3 years as a Procurement Engineer or in a similar role within facility management or a related industry. <br>• Technical knowledge in electro-mechanical fields <br>• Strong negotiation, communication, and interpersonal skills. <br>• Excellent organizational and analytical abilities. <br>• Proficiency in procurement software and Microsoft Office Suite (Excel, Word, PowerPoint). <br>• Ability to work independently and as part of a team

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Aspire Software is looking for a AI Engineer to join our team in Lebanon.</p> <p> <strong>Here is a little window into our company:</strong> 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> </p> <p>About the job: </p> <p>Your first project</p> <ul> <li>Design and build a delivery tracking module for our ERP covering shipment status ingestion</li> <li>from carriers, internal dispatch workflows, customer-facing tracking views, and notifications.</li> <li>You'll own it end-to-end: data model, backend services, API integrations, and the UI layer that</li> <li>plugs into our existing ERP.</li> </ul> <p> </p> <p>Ongoing scope</p> <ul> <li>Build production features in JAVA and REACT integrate with our ERP backend</li> <li>Use Claude Code and MCP-based workflows to accelerate development across our codebase</li> <li>Design AI-assisted capabilities where they add value (ETA prediction, exception detection, smart</li> <li>routing, natural-language search over orders/shipments)</li> <li>Work with Terraform, GitLab CI/CD, and AWS (Lambda, S3, API Gateway, OpenSearch etc.)</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>4+ years shipping production software</li> <li>Comfort designing data models, REST APIs, and event-driven systems</li> <li>Hands-on experience with LLM APIs (Anthropic) and AI-assisted coding tools</li> <li>Solid AWS fundamentals</li> <li>Pragmatic, product-minded can scope a module, ship v1, and iterate</li> </ul><p></p></section>

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

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

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>A leading Oil &amp; Gas company is looking for a Senior Mechanical Engineer to join their team in Beirut, Lebanon. The right candidate will be accountable for maintaining the safe, efficient, and dependable operation of all mechanical systems and equipment within oil and gas facilities. This encompasses the design, installation, testing, maintenance, and troubleshooting of assets such as pumps, compressors, pipelines, turbines, heat exchangers, and related equipment. The position requires close collaboration with various engineering disciplines, as well as operations and maintenance teams, to ensure continuous and optimized production. The Mechanical Engineer is also expected to serve as a backup to the Terminal Manager when required.</p><p><strong>Responsibilities</strong></p><p><strong>A- Maintenance &amp; Troubleshooting:</strong></p><ul><li>Perform routine inspections and evaluations of mechanical systems, including tanks, pumps, pipelines, berth facilities, sea lines, generators, buildings, fire systems, and weighbridges.</li><li>Complete and maintain monthly maintenance log sheets.</li><li>Conduct maintenance assessments for network gas stations and prepare reports reflecting current conditions.</li><li>Identify mechanical faults and implement corrective measures to reduce downtime and improve operational performance.</li><li>Establish and oversee preventive maintenance programs to prolong equipment lifespan and enhance efficiency.</li><li>Identify and procure required equipment and resources for terminal operations.</li><li>Provide technical guidance and training to operators and maintenance staff.</li><li>Supervise tank measurements (levels and temperature) for tanks used on the previous day for control purposes, as well as for tanks scheduled for use.</li><li>Carry out unannounced inspections of tank truck loading operations, including sealing procedures.</li><li>Oversee the installation, commissioning, and startup of mechanical equipment.</li><li>Conduct performance testing to ensure systems operate according to specifications.</li></ul><p><strong>B- Project Management &amp; Engineering Support:</strong></p><ul><li>Work closely with project management teams to ensure adherence to timelines and budgets.</li><li>Conduct site surveys to develop cost estimates and prepare drawings for terminal projects.</li><li>Support engineering projects from initial concept through completion, including budgeting, cost estimation, and risk assessment.</li><li>Collaborate with multidisciplinary teams to achieve project objectives and address technical issues.</li><li>Coordinate with engineering teams, operations, and contractors to ensure proper integration of mechanical systems.</li></ul><p><strong>C- Safety &amp; Compliance:</strong></p><ul><li>Ensure and monitor the implementation of all relevant procedures and safety measures (HSE, ISPS, API, and other applicable standards) within the terminal.</li><li>Ensure that all maintenance and repair activities comply with international standards, particularly API.</li><li>Verify that all mechanical systems and equipment meet safety, environmental, and regulatory requirements.</li><li>Develop operational procedures to maintain high standards of safety and quality.</li><li>Ensure full compliance with applicable laws, regulations, and company policies.</li><li>Select appropriate materials and ensure that designs adhere to industry standards, codes, and safety regulations.</li><li>Organize regular firefighting drills and coordinate with Civil Defense at least twice per month.</li><li>Oversee vessel discharge operations, including documentation preparation and quantity control, in accordance with company and international standards.</li></ul><p><strong>D- Documentation &amp; Reporting:</strong></p><ul><li>Maintain accurate and up-to-date documentation, including technical drawings, schematics, and equipment specifications.</li><li>Prepare, compile, and present reports, technical documentation, and updates to relevant stakeholders as required.</li><li>Produce and submit regular reports to the Operations Manager.</li><li>Coordinate daily with both the Operations Manager and Terminal Manager.</li><li>Inspect new and existing station sites to prepare design proposals, estimate costs, and supervise contractor work until project handover.</li><li>Carry out any additional duties as assigned by management.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Mechanical Engineering.</li><li>Minimum of 6 years of relevant experience in heavy industry.</li></ul><p></p></section>

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

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

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>JOB SUMMARY: The Site Engineer provides technical support to the site construction team under his control and assists in the execution of works and supervision in an assigned project.</p><p>PRIMARY DUTIES AND RESPONSIBILTIES:</p><p>1 Provides the foremen with the schedule of activities to be carried out on daily basis;</p><p>2 generates daily and monthly reports for submission to the Project Manager;</p><p>3 Oversees the selection and requisition of materials , and ensure that all materials used are as per specifications;</p><p>4 Coordinates with subcontractors, planners, suppliers and quantity surveyors, etc.;</p><p>5 Coordinates with client representatives including attending regular meetings;</p><p>Produces architectural SDs, material submittals and related POs;</p><p>6 Checks plans, drawings, and quantities for accuracy and prepares reports as required;</p><p>7 Assists in examining drawings and highlighting any discrepancies and coordinates with the Architectural Department / MEP Department for all related plans and drawings;</p><p>8 Performs quantity take off calculations as required; example: cutting lists, tiles quantity order</p><p>9 Monitors the progress of activities against planned schedules;</p><p>10 Coordinates the inspection approval process with the consultant s representative(s) and provides information to secure work acceptance;</p><p>11 Coordinates the engineering works of sub-contractors on site including internal field inspections before submitting FIR or CPR to consultant and/or client rep;</p><p>12 Checks and validates subcontractor's statements including drawings with estimated quantities;</p><p>13 Ensures that productivity is within the allowed budget rates and that materials and man-hour wastage is minimized;</p><p>14 Generates daily and monthly reports for submission to the Project Manager;</p><p>15 Ensures that works is being carried are in accordance to quality and safety standards and initiates on regular basis material tests; Internal inspections on subcontractors work prior consultant inspection;</p><p>16 Ensure site cleanliness in coordination with the foreman, and up to the company standard</p><p>17 Preparation and submission of monthly payment to client/consultant as per contract specs</p><p>18 Coordinates with the consultant through official correspondences and requests by submitting Field Inspection Requests for each activity;</p><p>19 Sends submittals to the consultant: CVI, VO, CPR, RFI, all kind of submittals</p><p>20 follow the planner two weeks ahead of schedule for monitoring purposes;</p><p>21 Coordinates with other disciplines about the work front and the sequence of activities as per schedule.</p><p>22 Performs other related duties as required.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>5 years of experience</p><p>Bachelor Degree in Civil / Architectural Engineering</p><p>High proficiency in AutoCAD and Microsoft Office</p><p></p></section>

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

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

JOB SUMMARY: <br>The Site Engineer provides technical support to the site construction team under his control and assists in the execution of works and supervision in an assigned project. <br>PRIMARY DUTIES AND RESPONSIBILTIES: <br>1 Provides the foremen with the schedule of activities to be carried out on daily basis; <br>2 generates daily and monthly reports for submission to the Project Manager; <br>3 Oversees the selection and requisition of materials , and ensure that all materials used are as per specifications; <br>4 Coordinates with subcontractors, planners, suppliers and quantity surveyors, etc.; <br>5 Coordinates with client representatives including attending regular meetings; <br> Produces architectural SDs, material submittals and related POs; <br>6 Checks plans, drawings, and quantities for accuracy and prepares reports as required; <br>7 Assists in examining drawings and highlighting any discrepancies and coordinates with the Architectural Department / MEP Department for all related plans and drawings; <br>8 Performs quantity take off calculations as required; example: cutting lists, tiles quantity order … <br>9 Monitors the progress of activities against planned schedules; <br>10 Coordinates the inspection approval process with the consultant’s representative(s) and provides information to secure work acceptance; <br>11 Coordinates the engineering works of sub-contractors on site including internal field inspections <br> before submitting FIR or CPR to consultant and/or client rep; <br>12 Checks and validates subcontractor's statements including drawings with estimated quantities; <br>13 Ensures that productivity is within the allowed budget rates and that materials and man-hour wastage is minimized; <br>14 Generates daily and monthly reports for submission to the Project Manager; <br>15 Ensures that works is being carried are in accordance to quality and safety standards and initiates on <br> regular basis material tests; Internal inspections on subcontractors work prior consultant inspection; <br>16 Ensure site cleanliness in coordination with the foreman, and up to the company standard <br>17 Preparation and submission of monthly payment to client/consultant as per contract specs <br>18 Coordinates with the consultant through official correspondences and requests by submitting Field Inspection Requests for each activity; <br>19 Sends submittals to the consultant: CVI, VO, CPR, RFI, all kind of submittals… <br>20 follow the planner two weeks ahead of schedule for monitoring purposes; <br>21 Coordinates with other disciplines about the work front and the sequence of activities as per schedule. <br>22 Performs other related duties as required. <br>WORK EXPERIENCE: <br>5 years of experience <br>ACADEMIC EDUCATION: <br>Bachelor Degree in Civil / Architectural Engineering <br>COMPUTER KNOWLEDGE: <br>High proficiency in AutoCAD and Microsoft Office

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

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

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

<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 Product 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. We're looking for a killer AI Product Manager someone highly driven and entrepreneurial who can take AI-powered products from idea to revenue in a real-world, hardware-meets-software environment. This role is not about checking boxes for years of experience it's about energy, ambition, and the ability to execute. We're looking for someone who thrives in fast-paced, high-growth environments, is passionate about AI innovation, and has the vision to turn ideas into scalable products. Key Responsibilities What your day will look like:</p><p><strong>AI Product and Technology Leadership</strong></p><ul><li>Own the AI product roadmap across the ecosystem from dynamic pricing and guest personalization to AI-powered booking and operational intelligence</li><li>Build a proof of concept (PoC) within a few weeks to validate AI-driven ideas quickly</li><li>Oversee the development, deployment, and commercialization of AI-driven solutions across our software platforms and connected hardware devices</li><li>Work closely with AI engineers, hardware teams, and customers to refine solutions for real-world impact in high-volume, guest-facing environments</li></ul><p><strong>Business Leadership</strong></p><ul><li>Develop and execute the product strategy, ensuring alignment with company goals and driving growth of AI offerings within the leisure and entertainment vertical</li><li>Execute against a provided playbook, building an initial proof of concept and scaling once validated</li></ul><p><strong>Operational Excellence</strong></p><ul><li>Build and optimize workflows for customer onboarding, support, and internal processes to ensure scalability and efficiency</li><li>Establish metrics and KPIs to measure and improve performance across the product portfolio</li></ul><p><strong>Customer and Market Insights</strong></p><ul><li>Conduct market research and competitive analysis across the cashless payments and venue technology landscape to refine strategy and offerings</li><li>Engage directly with operators parks, venues, FECs to ensure customer feedback is integrated into product development and iteration</li></ul><p><strong>Team Building and Operations</strong></p><ul><li>Foster a high-performance culture that encourages agility, execution, and innovation</li><li>Scale operations while maintaining a startup mentality fast, lean, and customer-drive</li></ul><p>You move fast and get things done</p><p>You don't wait for perfect conditions you make things happen</p><p>You thrive in uncertainty</p><p>You see ambiguity as an opportunity, not a challenge</p><p>You are passionate about AI and its real-world impact</p><p>Whether technical or business-driven, you understand how AI is shaping the future of payments and guest experiences</p><p>You are a builder</p><p>You love creating from scratch whether it's teams, products, or business models</p><p>You are relentless</p><p>Scaling a product is not a straight line, and you have the grit to push through</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Strong understanding of AI/ML technologies and their commercial applications</p><p>Experience with hardware products is a strong asset familiarity with embedded systems, IoT devices, payment terminals, RFID/NFC, or connected hardware-software ecosystems will set you apart</p><p>Experience in payments, fintech, or venue/attractions technology is a plus</p><p>An entrepreneurial background or experience building/scaling a product, startup, or high-growth venture is a plus</p><p>Ability to lead and inspire teams in a fast-moving, high-growth environment</p><p>No strict experience requirements we're looking for the right mindset, energy, and ability to execute</p><p>At least a Bachelor's degree in Computer Engineering or Electrical Engineering (an asset), or Artificial Intelligence, Computer Science, Business, or a similar related discipline</p><p>Being fluent in the English language, written and verbal, is essential</p><p>Must work US Central Hours</p><p></p></section>

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

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

<p><h4>About Infoquest</h4> <p>Infoquest is a custom-sourcing expert network connecting leading consulting firms, investors, and corporates with vetted subject-matter experts for primary research.</p> <p>Headquartered in Beirut, with entities in the UAE and a founding office in Bogotá, we operate a purpose-built expert network platform alongside a growing suite of internal data products that power performance, compliance, and client delivery.</p> <h4>Role summary</h4> <p>We are looking for a dedicated Full-Stack Engineer to support two key mandates:</p> <ul> <li>Extend and enhance our expert-network CRM through custom features, workflows, integrations, and interfaces built on the Exlink platform.</li> <li>Ensure the continuity, reliability, and scalability of our internal reporting environment across BigQuery and Power BI.</li> </ul> <p>You will own a substantial backlog of business-critical initiatives while helping eliminate a key single point of failure within our data function.</p> <h4>Engagement & access model</h4> <p>Our CRM is built on the Exlink platform, our long-term technology partner. Product direction and priorities are defined by Infoquest, while access to the platform is granted progressively as trust and familiarity develop under confidentiality agreements between Infoquest, Exlink, and the partner agency.</p> <h4>Phase 1</h4> <ul> <li>Develop custom features, automations, reports, integrations, and user interface extensions alongside the platform without modifying Exlink's core code.</li> <li>Work within a scoped development environment provided by Exlink with QA approval before deployment.</li> </ul> <h4>Phase 2</h4> <ul> <li>Contribute directly to the Exlink codebase on Infoquest-commissioned features.</li> <li>Follow Exlink's architecture, coding standards, and review processes.</li> </ul> <h4>Key responsibilities</h4> <p><strong>CRM platform development (Exlink)</strong></p> <ul> <li>Build, test, and maintain custom CRM features across the expert lifecycle, including lead imports, outreach, compliance workflows, screening, client portals, scheduling, transcripts, and billing.</li> <li>Develop frontend functionality using Vue 2, Vue 3, JavaScript, Tailwind CSS, Bootstrap, and jQuery.</li> <li>Build backend services using PHP, Laravel, PostgreSQL, Docker, and Nginx.</li> <li>Design, build, and maintain REST APIs and integrations with platforms including Zoom, Google Workspace, Microsoft Teams, Cronofy, Inex One, and contact enrichment tools.</li> <li>Translate business requirements into technical solutions, then test, document, deploy, and maintain them following Exlink's development standards.</li> </ul> <p><strong>Data products & reporting</strong></p> <ul> <li>Partner with the Data & Internal Tools Manager to ensure reporting and dashboards remain accurate, reliable, and up to date.</li> <li>Become a secondary owner of the data function by learning, documenting, maintaining, and troubleshooting pipelines, models, and dashboards.</li> <li>Maintain and enhance integrations between the Exlink CRM and BigQuery.</li> <li>Support KPI, NPS, and performance dashboards.</li> <li>Develop runbooks and standard operating procedures (SOPs) to ensure recurring data processes are fully documented and repeatable.</li> </ul> <h4>Requirements</h4> <ul> <li>5+ years of professional Full-Stack development experience.</li> <li>Strong experience with PHP and Laravel.</li> <li>Experience working with relational databases. PostgreSQL is preferred; strong MySQL experience is acceptable with willingness to transition.</li> <li>Strong knowledge of Vue.js (Vue 2 & Vue 3) and JavaScript.</li> <li>Experience with Tailwind CSS, Bootstrap, and jQuery.</li> <li>Experience building REST APIs and third-party integrations.</li> <li>Comfortable working with Docker, Linux, and Nginx environments.</li> <li>Strong understanding of Object-Oriented Programming (OOP), MVC architecture, SOLID principles, clean, testable code, and database schema design.</li> <li>Self-driven with the ability to independently manage business-critical systems and technical backlogs.</li> <li>Excellent documentation habits.</li> <li>Strong written English and the ability to collaborate during Beirut and GCC business hours.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with BigQuery or another cloud data warehouse.</li> <li>Experience with Power BI or similar Business Intelligence platforms.</li> <li>Data engineering experience including pipelines, data modelling, and SQL optimization.</li> <li>Experience maintaining SaaS platforms or CRM, scheduling, billing, or compliance-heavy systems.</li> <li>Familiarity with the expert network or primary research industry.</li> <li>Experience with Go.</li> </ul> <h4>Confidentiality & compliance</h4> <ul> <li>Sign and comply with confidentiality and data protection agreements covering Infoquest's client data, expert network, proprietary workflows, and Exlink's platform and codebase.</li> <li>Adhere to GDPR, UK GDPR, and Infoquest's internal compliance standards when handling personal data.</li> </ul> <h4>First 90 days</h4> <ul> <li>Successfully onboard to the Exlink platform and document existing pipelines and dashboards.</li> <li>Deliver the first set of custom features from the engineering backlog.</li> <li>Independently manage CRM enhancement requests and maintain reliable reporting.</li> <li>Become a trusted contributor within the Exlink codebase.</li> <li>Establish yourself as the second owner of the data function, eliminating key operational dependencies.</li> </ul></p><p></p>