Automotive Engineer Jobs in Lebanon

We are looking for a Document Controller to join our construction team. The successful candidate will be responsible for managing, organizing, tracking, and maintaining all project documentation, ensuring that documents are properly recorded, distributed, and easily accessible. <br> <br>Key Responsibilities <br> <br>Manage and maintain all project documents, including drawings, contracts, BOQs, specifications, reports, and correspondence. <br>Ensure proper filing, numbering, naming, and version control of documents. <br>Register and track incoming and outgoing documents. <br>Distribute documents to the relevant project teams, consultants, contractors, and subcontractors. <br>Maintain accurate document registers and update them regularly. <br>Control revisions of drawings and technical documents and ensure that teams are working with the latest approved versions. <br>Coordinate the submission and approval of technical documents, material submittals, RFIs, shop drawings, and other project documentation. <br>Follow up on pending approvals and document submissions. <br>Maintain both electronic and hard-copy filing systems. <br>Ensure documents are properly archived and available when required. <br>Assist project teams in retrieving documents and information when needed. <br>Prepare document transmittals and maintain records of document distribution. <br>Ensure confidentiality and proper handling of project information. <br>Support project managers and engineers with administrative and documentation requirements. <br>Perform other document control and administrative duties as assigned. <br> <br>Requirements <br> <br>Bachelor’s degree or diploma in Business Administration, Office Management, Engineering, or a related field. <br>2–4 years of experience in document control, preferably within a construction or engineering company. <br>Familiarity with construction documentation and project workflows. <br>Strong knowledge of MS Office, particularly Excel and Word. <br>Experience with document management systems is an advantage. <br>Good organizational and time-management skills. <br>Strong attention to detail and accuracy. <br>Good written and verbal communication skills. <br>Ability to manage multiple documents and deadlines simultaneously. <br>Ability to work effectively with engineers, project managers, consultants, and subcontractors

PROMEDIC Holding, a leading healthcare turnkey solutions provider across the MENA/GCC region, is looking for a Draftsman with 2–3 years of experience to prepare electrical and mechanical drawings for hospital infrastructure and medical gas network projects, supporting our engineering team on turnkey healthcare installations across Lebanon and the GCC. <br> <br>Key Responsibilities <br>* Prepare electrical drawings: single line diagrams (SLDs), IPS/UPS panel layouts, nurse call wiring diagrams, lighting layouts, earthing layouts for hospital departments (OT, ICU, wards) <br>* Prepare mechanical/medical gas drawings: pipeline routing layouts (oxygen, vacuum, medical air, nitrous), equipment room layouts, manifold and alarm panel locations <br>* Convert engineering concepts and hospital layout plans into detailed working and shop drawings <br>* Prepare as-built drawings after project handover for hospital facility records <br>* Revise drawings based on site feedback, consultant comments, or hospital facility requirements <br>* Coordinate with site engineers and installation teams for drawing clarifications and updates <br>* Maintain drawing numbering, revision control, and documentation per project standards <br>* Ensure drawings comply with healthcare facility codes/standards (NFPA 99, HTM, local MOH requirements) <br>* Support the estimation team with quantity take-offs from drawings when required <br> <br>Required Skills <br>* Proficiency in AutoCAD (2D mandatory; Revit MEP an added advantage for hospital BIM coordination) <br>* Basic understanding of electrical systems (panels, IPS, earthing) and mechanical/medical gas systems (piping, manifolds, alarm systems) <br>* Ability to read and interpret hospital MEP drawings, P&IDs, SLDs, and GA drawings <br>* Knowledge of drafting standards and healthcare facility drawing conventions <br>* Good attention to detail and drawing accuracy <br> <br>Qualification <br>Bachelor's or Master's degree in Electrical or Mechanical Engineering (candidates with a Diploma/ITI + strong drafting portfolio may also be considered) <br> <br>Other Requirements <br>* Ability to handle multiple hospital project drawings simultaneously <br>* Willingness to visit hospital sites for measurements/verification <br>* Good coordination skills with engineers, site teams, and hospital facility staff

<p>We are looking for a qualified and motivated Traffic Engineer with 0 to 3 years of experience to join our team. Having the willingness to learn new skills and fields, enjoy and capable of working within a multidisciplinary team. Main projects to work on are Transportation studies, Traffic Analysis, Circulation Plans, Feasibility studies, Modeling Projects, urban planning, Traffic Impact Assessment.</p><p><strong>Desired Candidate Profile</strong></p><p>We are looking for a qualified and motivated Traffic Engineer from 0 to 3 years experience to join our team. Having the willingness to learn new skills and fields, enjoy and capable of working within a multidisciplinary team.</p>

<p>Aspire Software is looking for a Senior Software Engineer who is AI-first in how they think, build and work. This means using modern AI coding tools every day to move faster, solve complex problems and improve development quality not simply adding AI to an existing product. You will take ownership of important product and platform initiatives from initial design through production. You will work across our AI agents, backend services, hotel integrations and internal tools to build systems that are reliable, scalable and safe for real-world guest interactions.</p><p>Key responsibilities:</p><ul><li>Design, build, test and deploy production-grade software across Sadie s AI and integration platform</li><li>Develop reliable workflows that combine large language models, business logic, APIs and real time hotel data</li><li>Build and improve integrations with hotel PMS, booking, payment, telephony and customer service platforms</li><li>Use AI development tools throughout the engineering lifecycle, including research, prototyping, coding, testing, debugging, documentation and code review</li><li>Improve the accuracy, latency, reliability and cost efficiency of Sadie s AI agents</li><li>Build evaluation frameworks, monitoring and safeguards for AI-driven workflows</li><li>Diagnose complex production issues across distributed systems, third-party APIs and real-time voice interactions</li><li>Make sound architectural decisions while maintaining the speed and practicality required in a growing company</li><li>Collaborate directly with product, customer success, hotel partners and other engineers to translate operational problems into effective technical solutions</li><li>Mentor other engineers and raise the standard for engineering quality, ownership and AI-first development across the team</li><li>Participate in code reviews and contribute to security, observability, testing and deployment best practices</li><li>Take responsibility for outcomes in production, not only for completing assigned development tasks</li></ul><p><strong>Desired Candidate Profile</strong></p><p>At least five years of professional software engineering experience, including experience owning complex systems in production</p><p>Strong backend engineering skills in Python, TypeScript or another modern programming language</p><p>Demonstrated ability to use AI coding tools as a core part of daily development and to validate their output with sound engineering judgment</p><p>Practical experience building products with large language models, generative AI or agentic workflows</p><p>Understanding of prompt design, structured outputs, tool calling, retrieval, context management and LLM evaluation</p><p>Strong experience designing and integrating REST APIs, webhooks and third-party services</p><p>Experience with databases, distributed systems, asynchronous processing and cloud infrastructure</p><p>Strong understanding of testing, observability, performance, security and reliable production operations</p><p>Ability to independently move from an ambiguous business problem to a well-designed, deployed solution</p><p>Excellent debugging, communication and technical decision-making skills</p><p>High level of ownership, urgency and attention to detail</p><p>Comfortable working in a fast-moving environment where priorities may evolve based on customer needs</p><p>We are looking for someone who is genuinely AI-first: curious about new models and tools, quick to experiment, disciplined about evaluation and capable of turning AI-assisted prototypes into dependable production systems</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Trigyn has an opportunity for an Data Engineer. This resource will be working in Beirut Lebanon.</p><p><br></p><p>Job Description:</p><p><br></p><p>The Data Engineer will perform the following tasks:</p><p>• Design, build, and maintain ETL/ELT pipelines.</p><p>• Automate data ingestion from various sources (databases, APIs, streaming services).</p><p>• Implement data validation and quality checks.</p><p>• Use platforms like Azure for cloud-based data solutions.</p><p>• Work with Data Scientists and Full stack Web Developers to provide clean, reliable data.</p><p>• Create and maintain comprehensive technical documentation, including user manuals, training materials, and product specifications, also developing functional specifications.</p><p>• Provide ongoing support for deployed pipelines including version control, data recovery processes, and deployment strategies.</p><p>• Research emerging technologies and industry trends, staying up to date with developments in the field, and actively assisting in testing and evaluating new products, tools, and technologies.</p><p><br></p><p><br></p><p>The Data Engineer is expected to fulfil the following deliverables:</p><p>• Completed project plan at project inception.</p><p>• Technical documentation and user manuals for assigned tasks, including dataflow and entity relationship diagrams.</p><p>• Progress reports with time sheets reflecting task fulfilment and project progress.</p><p>• Final source code, design assets, documentation and all related components to pipelines and applications are being developed.</p><p>• Other related deliverables as needed.</p><p><br></p><p>Qualifications</p><p><br></p><p>A minimum high school diploma with a certification or degree in Information Systems, Information Technology, Computer Science, Statistics or related area is required.</p><p><br></p><p>A minimum of 5+ years of professional experience with Python, SQL, cloud environments container orchestration (Kubernetes), and DevOps automation is required.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>• Strong familiarity with semantic modelling, knowledge graphs, and AI/ML integration for data systems is desirable.</p><p>• Excellent analytical, problem-solving, and communication skills are required.</p><p>• Knowledge in database design, and development using MS SQL Relational Database is required.</p><p>• English and French are the working languages of the client; and Arabic is a working language of client.</p><p>• For this position, fluency in English is required.</p></div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><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><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Role Overview:</strong></p><br><p>The Integration Engineer is responsible for designing, developing, and maintaining enterprise integrations across internal and external applications using Microsoft Azure Integration Services and .NET technologies.</p><br><p>This role focuses on API development, middleware solutions, event-driven architectures, messaging platforms, and system-to-system integrations. The engineer will work closely with application teams, business stakeholders, and architects to deliver secure, scalable, and reliable integration solutions across the organization.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Solution Design </strong></p><br><ul><li>Design and implement integration solutions using Azure services such as:<ul><li><strong>Azure Logic Apps (Standard &amp; Consumption)</strong></li><li><strong>Azure Service Bus (Queues, Topics, DLQ)</strong></li><li><strong>Azure API Management</strong></li><li><strong>Event Grid / Event Hub</strong></li><li><strong>Azure Functions</strong></li></ul></li><li>Translate functional requirements into scalable integration architectures.</li><li>Build robust retry, error-handling, dead-lettering, and monitoring patterns.</li></ul><p><strong>2. Development &amp; Implementation</strong></p><br><ul><li>Develop integration workflows using Logic Apps (stateful and stateless).</li><li>Implement synchronous and asynchronous messaging patterns.</li><li>Build APIs and connectors for internal/external system integrations.</li><li>Implement CI/CD pipelines for integration components (Azure DevOps/GitHub).</li><li>Build reusable components, templates, and enterprise integration patterns.</li></ul><p><strong>3. Service Bus &amp; Messaging</strong></p><br><ul><li>Configure queues, topics, subscriptions, and rules.</li><li>Implement DLQ handling, repair &amp; replay, and quarantine logic.</li><li>Ensure message security, idempotency, and guaranteed delivery.</li></ul><p><strong>4. API Management</strong></p><br><ul><li>Publish, secure, and monitor APIs using Azure API Management.</li><li>Implement policies (rate limiting, caching, transformation, authentication).</li><li>Manage API lifecycle and developer onboarding.</li></ul><p><strong>5. Monitoring &amp; Support</strong></p><br><ul><li>Implement alerting and observability using:<ul><li><strong>Application Insights</strong></li><li><strong>Log Analytics</strong></li><li><strong>Azure Monitor</strong></li></ul></li><li>Troubleshoot integration failures, performance issues, and message dead-lettering.</li><li>Support production workloads, ensure platform reliability, and optimize cost.</li></ul><p><strong>6. Security &amp; Governance</strong></p><br><ul><li>Apply best practices for identity and access management (Azure AD).</li><li>Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault.</li><li>Ensure compliance with company governance and Azure landing zone policies.</li></ul><br>Qualifications<br><p><strong>Qualifications and Experience:</strong></p><br><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li><li>Strong programming skills in <strong>C# and .NET</strong>.</li><li>Experience developing and consuming <strong>RESTful APIs</strong>.</li><li>Experience with <strong>ASP.NET Core Web API</strong> development.</li><li>Understanding of enterprise integration patterns and middleware concepts.</li><li>Knowledge of synchronous and asynchronous communication mechanisms.</li><li>Experience with messaging platforms such as:<ul><li>Azure Service Bus</li><li>Strong understanding of JSON, XML, and API contracts.</li></ul></li><li>Experience with Azure services including:<ul><li>Azure Logic Apps</li><li>Azure Functions</li><li>Azure API Management</li><li>Azure Service Bus</li><li>Event Grid</li><li>Cosmos DB</li><li>Azure Storage Container</li></ul></li><li>Experience with Git and Azure DevOps.</li><li>Familiarity with CI/CD pipelines and deployment automation.</li><li>Understanding of authentication and security concepts including:<ul><li>OAuth2</li><li>OpenID Connect</li><li>Managed Identity</li><li>Azure Key Vault</li><li>RBAC</li></ul></li><li>Experience troubleshooting distributed applications and integrations.</li><li>Strong analytical, debugging, and problem-solving skills.</li></ul><br>Additional Information<br><p>The ideal candidate has experience with:</p><br><ul><li>C# / .NET</li><li>ASP.NET Core</li><li>REST APIs</li><li>Azure Integration Services</li><li>Middleware platforms</li><li>Service Bus and messaging</li><li>API Management</li><li>Event-Driven Architecture</li><li>Microservices</li><li>Azure DevOps</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Result of Service<br>The Junior Data Engineer is expected to fulfill the following deliverables: • Completed project plan at project inception. • Technical documentation and user manuals for assigned tasks, including dataflow and entity relationship diagrams. • Progress reports with time sheets reflecting task fulfillment and project progress. • Final source code, design assets, documentation and all related components to pipelines and applications are being developed. • Other related deliverables as needed, following UN ICT or ESCWA’s strategy.<br> Work Location<br>UN-House ESCWA<br> Expected duration<br>2 months<br> Duties and Responsibilities<br>Background: This position is located in the Decision-Support and Data Science Division. The Decision-Support and Data Science Division is part of ESCWA’s broader modernization and innovation efforts, providing advanced analytics and decision-support services within ESCWA, other UN entities, and Member States. Aligned with the UN 2.0 agenda and grounded in strategic foresight, DSDSD leverages data-driven insights, emerging technologies, and scenario-based planning to anticipate trends and proactively inform policymaking and operations. Its core functions include data integration and management; data quality assurance; advanced analytics and modeling; machine learning and artificial intelligence solutions; real-time dashboards and performance reporting; and data visualization and business intelligence and the design and development of specialized digital decision-support tools. Through these capabilities, DSDSD empowers evidence-based decision-making, fosters organizational efficiency, and catalyzes strategic innovation across the region, supporting sustainable development outcomes regionally and globally. In this context, the Data Engineer will be responsible for developing, enhancing, and maintaining data engineering solutions, automated data collection processes, and data pipelines supporting ESCWA’s data platforms and digital initiatives, in accordance with established UN standards and best practices for software development, data management, IT technologies, programming languages, and tools. The contractor will also prepare, maintain, and update relevant project-based technical documentation, user documentation, and functional specifications to support the effective implementation, operation, and sustainability of the developed solutions. Duties and responsibilities: The contractor will perform the following tasks: • Design, develop, and maintain ETL/ELT pipelines for automated data collection, transformation, and integration. • Develop and maintain web scraping and data extraction solutions to collect structured and unstructured data from national, regional, and international sources. • Automate data ingestion from multiple sources, including websites, APIs, databases, files, and other external data services. • Implement data validation, cleansing, quality checks, and monitoring mechanisms to ensure the accuracy, completeness, and reliability of collected data. • Develop resilient scraping processes capable of handling changes in source websites, data structures, pagination, and other extraction challenges. • Provide ongoing support and maintenance for deployed data pipelines and web scrapers, including troubleshooting, version control, monitoring, data recovery, and deployment management.<br> Qualifications/special skills<br>A Bachelor's degree in Information systems, Information Technology, Computer Science, Statistics or related area is required. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 1 year of professional hands-on experience with Python. Demonstrated experience in designing, developing, and maintaining web scraping and automated web data extraction solutions, including extracting, parsing, and processing data from diverse structured and unstructured websites and web-based sources, is required. Understanding of data validation, transformation, quality assurance, monitoring, and troubleshooting of automated data pipelines is required. Knowledge in database design, and development using MS SQL Relational Database is required.<br> Languages<br>English and French are the working languages of the United Nations Secretariat; and Arabic is a working language of ESCWA. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: “Fluency” equals a rating of ‘fluent’ in all four areas (speak, read, write, and understand) and “Knowledge of” equals a rating of ‘confident’ in two of the four areas.<br> Additional Information<br>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"> Company Description<br><p><strong>The Company:</strong></p><br><p>Sucafina is the leading sustainable Farm to Roaster coffee company, with a family tradition in commodities that stretches back to 1905. Today, with more than 1,400 employees in 34 countries, we help stakeholders worldwide to find the perfect coffee solutions. We embed technology, innovation, and sustainability throughout the supply chain, creating shared value for all by Investing in Farmers, Caring for People, and Protecting Our Planet. For more information, visit www.sucafina.com.</p><br><p><strong>What are we looking for:</strong></p><br><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><br><p><strong>What we offer:</strong></p><br><p>We offer within our pleasant family environment, great opportunities to learn and grow, we offer challenges and exposure to multicultural environments, on-merit base compensation, and free coffee around the clock!</p><br><br>Job Description<br><p><strong>Role Overview:</strong></p><br><p>The Integration Engineer is responsible for designing, developing, and maintaining enterprise integrations across internal and external applications using Microsoft Azure Integration Services and .NET technologies.</p><br><p>This role focuses on API development, middleware solutions, event-driven architectures, messaging platforms, and system-to-system integrations. The engineer will work closely with application teams, business stakeholders, and architects to deliver secure, scalable, and reliable integration solutions across the organization.</p><br><p><strong>Key Responsibilities</strong></p><br><p><strong>1. Solution Design </strong></p><br><ul><li>Design and implement integration solutions using Azure services such as:<ul><li><strong>Azure Logic Apps (Standard &amp; Consumption)</strong></li><li><strong>Azure Service Bus (Queues, Topics, DLQ)</strong></li><li><strong>Azure API Management</strong></li><li><strong>Event Grid / Event Hub</strong></li><li><strong>Azure Functions</strong></li></ul></li><li>Translate functional requirements into scalable integration architectures.</li><li>Build robust retry, error-handling, dead-lettering, and monitoring patterns.</li></ul><p><strong>2. Development &amp; Implementation</strong></p><br><ul><li>Develop integration workflows using Logic Apps (stateful and stateless).</li><li>Implement synchronous and asynchronous messaging patterns.</li><li>Build APIs and connectors for internal/external system integrations.</li><li>Implement CI/CD pipelines for integration components (Azure DevOps/GitHub).</li><li>Build reusable components, templates, and enterprise integration patterns.</li></ul><p><strong>3. Service Bus &amp; Messaging</strong></p><br><ul><li>Configure queues, topics, subscriptions, and rules.</li><li>Implement DLQ handling, repair &amp; replay, and quarantine logic.</li><li>Ensure message security, idempotency, and guaranteed delivery.</li></ul><p><strong>4. API Management</strong></p><br><ul><li>Publish, secure, and monitor APIs using Azure API Management.</li><li>Implement policies (rate limiting, caching, transformation, authentication).</li><li>Manage API lifecycle and developer onboarding.</li></ul><p><strong>5. Monitoring &amp; Support</strong></p><br><ul><li>Implement alerting and observability using:<ul><li><strong>Application Insights</strong></li><li><strong>Log Analytics</strong></li><li><strong>Azure Monitor</strong></li></ul></li><li>Troubleshoot integration failures, performance issues, and message dead-lettering.</li><li>Support production workloads, ensure platform reliability, and optimize cost.</li></ul><p><strong>6. Security &amp; Governance</strong></p><br><ul><li>Apply best practices for identity and access management (Azure AD).</li><li>Implement security standards: Managed Identity, OAuth2, RBAC, Key Vault.</li><li>Ensure compliance with company governance and Azure landing zone policies.</li></ul><br>Qualifications<br><p><strong>Qualifications and Experience:</strong></p><br><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li><li>Strong programming skills in <strong>C# and .NET</strong>.</li><li>Experience developing and consuming <strong>RESTful APIs</strong>.</li><li>Experience with <strong>ASP.NET Core Web API</strong> development.</li><li>Understanding of enterprise integration patterns and middleware concepts.</li><li>Knowledge of synchronous and asynchronous communication mechanisms.</li><li>Experience with messaging platforms such as:<ul><li>Azure Service Bus</li><li>Strong understanding of JSON, XML, and API contracts.</li></ul></li><li>Experience with Azure services including:<ul><li>Azure Logic Apps</li><li>Azure Functions</li><li>Azure API Management</li><li>Azure Service Bus</li><li>Event Grid</li><li>Cosmos DB</li><li>Azure Storage Container</li></ul></li><li>Experience with Git and Azure DevOps.</li><li>Familiarity with CI/CD pipelines and deployment automation.</li><li>Understanding of authentication and security concepts including:<ul><li>OAuth2</li><li>OpenID Connect</li><li>Managed Identity</li><li>Azure Key Vault</li><li>RBAC</li></ul></li><li>Experience troubleshooting distributed applications and integrations.</li><li>Strong analytical, debugging, and problem-solving skills.</li></ul><br>Additional Information<br><p>The ideal candidate has experience with:</p><br><ul><li>C# / .NET</li><li>ASP.NET Core</li><li>REST APIs</li><li>Azure Integration Services</li><li>Middleware platforms</li><li>Service Bus and messaging</li><li>API Management</li><li>Event-Driven Architecture</li><li>Microservices</li><li>Azure DevOps</li></ul><br><br> </div>

<p><h4>About us</h4> <p>Whiteshield is an AI-native sovereign intelligence company helping governments move from insight to action and from planning to continuous adaptation. Its platform combines workforce intelligence, economic intelligence, and adaptive policy applications to support decision-makers in real time. Founded in 2011, the company combines public policy expertise, proprietary data assets, and AI-enabled applications to support decision-makers across workforce development, economic competitiveness, and societal transformation.</p> <p>With principal operations in Dubai (DIFC) and Riyadh and a global footprint spanning the Middle East, Europe, Africa, Eurasia, and Asia, Whiteshield serves governments, sovereign institutions, multilateral organisations, and leading corporations worldwide. Its technology portfolio equips leaders with decision intelligence, workforce intelligence, and adaptive policy solutions.</p> <p>Whiteshield’s mission is to help build adaptive societies where every citizen can learn, provide, and connect.</p> <h4>Where you fit in</h4> <p>We’re a high-velocity, impact-driven team building software and data-driven solutions at the edge of innovation. Whether launching products from zero to one or helping clients adapt to emerging technologies, we operate in dynamic environments where experimentation, rapid delivery, and collaboration are constant. AI isn’t an add-on here - it’s embedded in how we design, build, test, and ship. From AI-assisted coding and automated test generation to intelligent architecture reviews and data-driven decision loops, we leverage AI-native workflows to move faster and build smarter.</p> <p>We’re looking for a seasoned technologist who thrives in AI-enabled environments and understands how to amplify engineering output using modern AI tooling. You won’t just manage projects; you will define how AI-driven digital excellence happens here; setting standards for prompt engineering, code generation workflows, automated QA, intelligent documentation, and continuous learning systems.</p> <p>You’re a senior-level engineer with a wide-ranging technical toolkit and a strong bias toward leveraging AI to increase velocity and quality. You’ve built and shipped products, integrated AI into real delivery pipelines, and know how to move from concept to production under pressure. You’re comfortable orchestrating AI copilots, designing human-in-the-loop systems, and embedding automation across the SDLC. You’re also client-savvy. You can lead conversations, uncover needs, manage stakeholders, and translate business objectives into technical and AI-enabled delivery strategies. You understand how to position AI not as hype, but as a pragmatic accelerator - reducing time to value, improving quality, and unlocking new solution spaces. You thrive in fast-paced environments where agility, experimentation, and initiative are essential; and where AI is a core multiplier of team performance.</p> <h4>What you will do</h4> <ul> <li>Architect and build scalable, innovative software solutions; internally and for clients</li> <li>Lead engagements with clients, acting as both a trusted advisor and technical owner</li> <li>Rapidly prototype, iterate, and validate solutions using modern technologies</li> <li>Balance short-term deliverables with long-term vision for scalable systems</li> <li>Work across cross-functional teams to align product goals, timelines, and execution</li> <li>Mentor junior engineers and contribute to growing a culture of technical excellence</li> <li>Evaluate new technologies to be implemented at scale for citizen impact</li> <li>Embed AI-native development workflows across the SDLC, leveraging AI copilots, code generation, automated test creation, and intelligent documentation to increase velocity and quality</li> <li>Design and operationalize AI-assisted engineering practices, including prompt engineering standards, human-in-the-loop review processes, and continuous model evaluation to ensure secure, scalable, and production-ready delivery</li> </ul> <h4>Our core tech stack (flexible)</h4> <ul> <li>Backend: C# / .NET / Python</li> <li>Frontend: React / Next.js</li> <li>Database: MSSQL, Postgres, Elasticsearch, MongoDB</li> <li>Cloud: Azure or Google</li> <li>Dev tools: Git, CI/CD pipelines, Docker, Terraform, Ansible</li> <li>ML/AI: Langchain, LangGraph, N8n, scikit-learn, Ollama, Claude Code</li> </ul> <h4>Requirements</h4> <h4>What you’ll bring</h4> <ul> <li>6+ years of professional software engineering experience</li> <li>Expertise with C# and .NET Core, including building APIs and backend systems</li> <li>Proficiency in React and/or Next.js for modern frontend development</li> <li>Experience working with cloud services (Azure, AWS, or GCP)</li> <li>Strong communication and client management skills; comfortable owning technical delivery in client settings</li> <li>A passion for learning and working with emerging technologies</li> <li>Ability to work independently in fast-paced, dynamic environments</li> <li>Knowledge on how to integrate AI agentic development workflows to strong engineering practices</li> </ul> <h4>Bonus points for</h4> <ul> <li>Prior consulting, agency, or client-facing experience</li> <li>Experience designing cloud-native architectures and using infrastructure-as-code tools</li> <li>Open-source contributions or published technical content</li> <li>Familiarity with data science workflows or machine learning integration</li> </ul> <h4>Benefits</h4> <h4>Perks and opportunities</h4> <p><strong>Accelerated career trajectory</strong><br> We operate a performance-driven environment with clear progression pathways.</p> <p><strong>Seamless relocation</strong><br> For those relocating, we provide comprehensive transition support including visa sponsorship and relocation assistance enabling you to integrate quickly and focus on delivery from day one.</p> <p><strong>Supporting your performance</strong><br> We provide tier 1 global medical coverage, wellbeing support, family allowances where applicable, and structured savings plans.</p> <p><strong>Helping teams perform</strong><br> We work on complex high-impact engagements that demand intensity and ownership. At the same time, we are mindful of the impact this can have and aim to support sustainable performance over time through offering generous annual leave, flexible work arrangements, and opportunities to connect beyond the day-to-day through retreats and team events.</p></p><p></p>

<p>We are seeking an Infrastructure Engineer to join our IT Infrastructure team. This position offers an excellent opportunity for a motivated individual with a strong technical foundation to develop hands-on expertise across server administration, networking, cloud services, and IT operations. Reporting to senior members of the team, the successful candidate will contribute to the day-to-day maintenance of our environment while gaining exposure to industry best practices in system administration, security, monitoring, and automation.</p><p>Key Responsibilities:</p><ul><li>Support the administration and maintenance of Windows Server infrastructure and Active Directory services.</li><li>Assist in the administration of Microsoft 365 and Microsoft Azure environments.</li><li>Contribute to the ongoing management of VMware virtualization platforms.</li><li>Monitor infrastructure health, respond to system alerts, and escalate issues as required.</li><li>Troubleshoot and resolve incidents relating to servers, storage, and network components.</li><li>Participate in infrastructure projects, including upgrades, migrations, and new deployments.</li><li>Support backup, business continuity, and disaster recovery operations.</li><li>Maintain accurate and up-to-date technical documentation, procedures, and knowledge base articles.</li><li>Collaborate with internal teams to investigate and resolve escalated technical issues.</li><li>Adhere to established security standards and operational best practices.</li></ul><p><strong>Desired Candidate Profile</strong></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>Qualifications and Experience:</p><ul><li>Bachelor's degree in Computer Science, Information Technology, or a related discipline.</li><li>2 - 4 years of experience in an IT infrastructure or systems administration role.</li><li>Working knowledge of Windows Server, Active Directory, DNS, DHCP, and core networking concepts.</li><li>Exposure to Microsoft 365 and Microsoft Azure is considered an advantage.</li><li>Familiarity with virtualization technologies, particularly VMware, is desirable.</li><li>Knowledge of FortiGate firewalls and related network security technologies is a plus.</li><li>Strong analytical and problem-solving capabilities.</li><li>A proactive mindset with a willingness to learn, take initiative, and assume ownership of assigned tasks.</li><li>Effective written and verbal communication skills, with the ability to work collaboratively within a team environment.</li></ul>

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer&nbsp;who will be&nbsp;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.</p><br><p><strong>Duties &amp; Responsibilities:</strong></p><br><ul><li>Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks.</li><li>Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable.</li><li>Develop and maintain front-end and back-end components supporting AI applications.</li><li>Apply AI-assisted coding tools to improve development efficiency and code quality.</li><li>Evaluate and adopt emerging AI technologies, frameworks, and development practices.</li><li>Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability.</li><li>Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed.</li><li>Monitor and optimize the technical performance and resource utilization of AI environments.</li><li>Lead technical testing and validation of AI solutions prior to implementation.</li><li>Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability.</li><li>Identify technical and functional issues and coordinate their resolution.</li><li>Establish appropriate testing approaches for AI models, agents, integrations, and applications.</li><li>Training, evaluating, and fine-tuning ML models on historical data for predictive analysis.</li></ul><br>Qualifications<br><p><u>Education:</u></p><br><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field.</li><li>Relevant Master's degree or professional AI/cloud certification is an advantage.</li></ul><p><u>Experience/Knowledge: </u></p><br><ul><li>3-6&nbsp;years of experience in AI Platforms.</li><li>Strong hands-on experience developing and deploying AI applications and capabilities.</li><li>Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices.</li><li>Experience with AI agents, MCPs, and AI integrations.</li><li>Experience using AI coding and AI-assisted software development tools.</li><li>Experience working with legacy Databases using SQL.</li><li>Hands on code knowledge using python or other similar languages.</li><li>Source Control platform integration example GIT.</li><li>Previous experience working with microservices</li><li>Prior work experience with message queues and streaming platforms is a plus.</li><li>Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus.</li><li>Experience working on ML models with hands on experience using platforms like pytorch.</li><li>Hands on model testing, metrics evaluation, and fine tuning for ML predictive models.</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p>GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer&nbsp;who will be&nbsp;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.</p><br><p><strong>Duties &amp; Responsibilities:</strong></p><br><ul><li>Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks.</li><li>Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable.</li><li>Develop and maintain front-end and back-end components supporting AI applications.</li><li>Apply AI-assisted coding tools to improve development efficiency and code quality.</li><li>Evaluate and adopt emerging AI technologies, frameworks, and development practices.</li><li>Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability.</li><li>Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed.</li><li>Monitor and optimize the technical performance and resource utilization of AI environments.</li><li>Lead technical testing and validation of AI solutions prior to implementation.</li><li>Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability.</li><li>Identify technical and functional issues and coordinate their resolution.</li><li>Establish appropriate testing approaches for AI models, agents, integrations, and applications.</li><li>Training, evaluating, and fine-tuning ML models on historical data for predictive analysis.</li></ul><br>Qualifications<br><p><u>Education:</u></p><br><ul><li>Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field.</li><li>Relevant Master's degree or professional AI/cloud certification is an advantage.</li></ul><p><u>Experience/Knowledge: </u></p><br><ul><li>3-6&nbsp;years of experience in AI Platforms.</li><li>Strong hands-on experience developing and deploying AI applications and capabilities.</li><li>Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices.</li><li>Experience with AI agents, MCPs, and AI integrations.</li><li>Experience using AI coding and AI-assisted software development tools.</li><li>Experience working with legacy Databases using SQL.</li><li>Hands on code knowledge using python or other similar languages.</li><li>Source Control platform integration example GIT.</li><li>Previous experience working with microservices</li><li>Prior work experience with message queues and streaming platforms is a plus.</li><li>Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus.</li><li>Experience working on ML models with hands on experience using platforms like pytorch.</li><li>Hands on model testing, metrics evaluation, and fine tuning for ML predictive models.</li></ul><br><br> </div>

<p><strong style="font-size: 11px;">About the Job:</strong></p><p>We're looking for an AI-first Senior Engineer to help move our team from light AI use to agent-driven, multi-agent development. You'll build AI-powered product features end to end, work agent-first in your own day-to-day development, and share what works so the rest of the team can follow. You're also a strong full-stack engineer with modern stack experience, ready to play a key role in an upcoming ground-up rebuild (v2) of our platform while keeping our existing Java/Oracle platform running in the meantime.</p> <p><b><br></b></p><p><b>AI-first development:</b></p> <ul> <li>Be a hands-on early adopter: try agentic and multi-agent development workflows on real work, and find what works for our codebase and team.</li> <li>Share what you learn by demonstrating workflows, contributing best practices and documentation, and helping teammates get up to speed.</li> <li>Apply AI across the development lifecycle, from coding and testing to code review, CI/CD, and work on our legacy codebase and platform migration.</li> </ul> <p><b><br></b></p><p><b>AI product engineering:</b></p> <ul> <li>Design, build, and ship AI-powered product features end to end, such as LLM-based assistants and chatbots, summarization, translation, classification, predictive analytics, personalization, anomaly detection, and intelligent automation.</li> <li>Build LLM applications and agents using prompt engineering, retrieval-augmented generation (RAG), tool/function calling, structured outputs, and multi-step agentic workflows.</li> <li>Evaluate, select, and integrate AI models, APIs, and frameworks into our applications and internal tooling, balancing quality, latency, and cost for each use case.</li> <li>Set up evaluation and quality practices for AI features: test datasets, automated evals, regression testing of prompts and models, and production monitoring for accuracy, latency, and cost.</li> <li>Make AI features safe and reliable with guardrails, data privacy and PII handling, prompt-injection mitigation, and sensible fallback behavior.</li> <li>Partner with product teams to identify customer-facing use cases where AI can drive measurable value and competitive advantage, and rapidly prototype to validate them.</li> <li>Stay current with the fast-moving AI landscape (models, tools, and techniques) and bring practical improvements into the product and the team.</li> </ul> <p><b><br></b></p><p><b>Full-stack engineering:</b></p> <ul> <li>Play a key role in a ground-up rebuild (v2) of our platform on a modern stack, designed from the start for AI-first development.</li> <li>Maintain and enhance our existing platform (JSP, Java Spring, Oracle Database, PL/SQL) through the transition and help plan and execute the migration to v2.</li> <li>Design and implement robust, scalable, and secure web applications.</li> <li>Collaborate with cross-functional teams to define, design, and implement new features.</li> <li>Ensure the performance, quality, and responsiveness of applications.</li> <li>Identify and resolve bottlenecks and bugs.</li> <li>Help maintain code quality, organization, and automation.</li> <li>Participate in code reviews.</li> <li>Implement and manage continuous integration and continuous delivery (CI/CD) pipelines, including for AI-powered services.</li> </ul><p><b><br></b></p><p><b>AI engineering:</b></p> <ul> <li>Proven experience designing, building, and deploying AI/LLM-powered features to production (e.g., chatbots and assistants, summarization, recommendation engines, predictive analytics, personalization).</li> <li>Hands-on experience with LLM APIs and platforms (e.g., OpenAI, Anthropic, AWS Bedrock, AWS SageMaker), including prompt engineering, tool/function calling, and structured outputs.</li> <li>Experience building retrieval-augmented generation (RAG) pipelines, including embeddings, chunking, and vector search (e.g., pgvector, OpenSearch, Oracle AI Vector Search).</li> <li>Familiarity with AI orchestration and agent frameworks (e.g., Spring AI, LangChain/LangGraph, LlamaIndex) and protocols such as the Model Context Protocol (MCP).</li> <li>Experience evaluating and monitoring AI systems: building eval datasets, measuring output quality, and tracking latency, cost, and failure modes in production.</li> <li>Understanding of AI risks and mitigations, including hallucinations, prompt injection, data privacy, and responsible AI practices.</li> <li>Hands-on experience with agentic development, such as running coding agents (e.g., Claude Code, Cursor, GitHub Copilot) on multi-step tasks, coordinating multiple agents, and configuring agent rules, context, and MCP integrations.</li> <li>Curiosity and willingness to experiment with new AI workflows, and to share results openly with the team, including what didn't work.</li> </ul> <p> </p> <p><b><br></b></p><p><b>Software engineering:</b></p> <ul> <li>Strong experience with modern languages and stacks (e.g., TypeScript/Node.js, Python, Go), cloud-native architecture, and modern databases, including designing new systems from the ground up.</li> <li>Experience developing modern web applications using React (functional components, hooks, state management like Redux) or Angular.</li> <li>Ability to work in and understand our existing platform (Java, Spring, JSP, Oracle Database, PL/SQL); hands-on experience with these is a plus.</li> <li>Experience integrating front-end applications with back-end services using REST APIs, and with third-party APIs (e.g., Google Maps JavaScript API).</li> <li>Experience with automated testing frameworks for React (Jest, React Testing Library) and mocking API responses in tests.</li> <li>Understanding of modern JavaScript features (ES6+), asynchronous programming (promises, async/await), and CSS preprocessors like SASS.</li> <li>Familiarity with Test Driven Development (TDD).</li> <li>Familiarity with AWS and cloud-native services.</li> <li>Familiarity with tools like Webpack, Babel, ESLint, and package managers (npm, yarn).</li> <li>Familiarity with modern UI frameworks like Material-UI and Tailwind.</li> </ul> <p> </p> <p><b><br></b></p><p><b>Nice to have:</b></p> <ul> <li>(Bonus) Proficiency in Python for AI/ML work.</li> <li>(Bonus) Grounding in ML fundamentals, or experience fine-tuning models.</li> <li>(Bonus) Experience leading or contributing to a major platform rebuild or legacy-to-modern migration.</li> <li>(Bonus) Experience in mobile app development (e.g., React Native, Swift/iOS, Kotlin/Android).</li> <li>(Bonus) Familiarity with UI/UX design, including designing intuitive user experiences for AI features.</li> </ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Proven experience designing, building, and deploying AI/LLM-powered features to production (e.g., chatbots and assistants, summarization, recommendation engines, predictive analytics, personalization).</li><li>Hands-on experience with LLM APIs and platforms (e.g., OpenAI, Anthropic, AWS Bedrock, AWS SageMaker), including prompt engineering, tool/function calling, and structured outputs.</li><li>Experience building retrieval-augmented generation (RAG) pipelines, including embeddings, chunking, and vector search (e.g., pgvector, OpenSearch, Oracle AI Vector Search).</li><li>Familiarity with AI orchestration and agent frameworks (e.g., Spring AI, LangChain/LangGraph, LlamaIndex) and protocols such as the Model Context Protocol (MCP).</li><li>Experience evaluating and monitoring AI systems: building eval datasets, measuring output quality, and tracking latency, cost, and failure modes in production.</li><li>Understanding of AI risks and mitigations, including hallucinations, prompt injection, data privacy, and responsible AI practices.</li><li>Hands-on experience with agentic development, such as running coding agents (e.g., Claude Code, Cursor, GitHub Copilot) on multi-step tasks, coordinating multiple agents, and configuring agent rules, context, and MCP integrations.</li><li>Curiosity and willingness to experiment with new AI workflows, and to share results openly with the team, including what didn't work.</li></ul> <p>Software engineering:</p> <ul><li>Strong experience with modern languages and stacks (e.g., TypeScript/Node.js, Python, Go), cloud-native architecture, and modern databases, including designing new systems from the ground up.</li><li>Experience developing modern web applications using React (functional components, hooks, state management like Redux) or Angular.</li><li>Ability to work in and understand our existing platform (Java, Spring, JSP, Oracle Database, PL/SQL); hands-on experience with these is a plus.</li><li>Experience integrating front-end applications with back-end services using REST APIs, and with third-party APIs (e.g., Google Maps JavaScript API).</li><li>Experience with automated testing frameworks for React (Jest, React Testing Library) and mocking API responses in tests.</li><li>Understanding of modern JavaScript features (ES6+), asynchronous programming (promises, async/await), and CSS preprocessors like SASS.</li><li>Familiarity with Test Driven Development (TDD).</li><li>Familiarity with AWS and cloud-native services.</li><li>Familiarity with tools like Webpack, Babel, ESLint, and package managers (npm, yarn).</li><li>Familiarity with modern UI frameworks like Material-UI and Tailwind.</li></ul> <p>Nice to have:</p> <ul><li>(Bonus) Proficiency in Python for AI/ML work.</li><li>(Bonus) Grounding in ML fundamentals, or experience fine-tuning models.</li><li>(Bonus) Experience leading or contributing to a major platform rebuild or legacy-to-modern migration.</li><li>(Bonus) Experience in mobile app development (e.g., React Native, Swift/iOS, Kotlin/Android).</li><li>(Bonus) Familiarity with UI/UX design, including designing intuitive user experiences for AI features.</li></ul>

<p>Lead the preparation and submission of technical and financial tender offers, ensuring compliance, completeness, accuracy, and competitiveness.</p><p>Analyze tender specifications and validate technical compliance, ensuring the selection of the most suitable brands and products.</p><p>Coordinate with suppliers to obtain quotations, negotiate competitive pricing, delivery lead times, and commercial terms.</p><p>Coordinate project execution including ordering, shipment follow-up, delivery planning, installation, and invoicing.</p><p>Build and maintain strong relationships with local and international suppliers and manufacturers.</p><p>Develop and manage tender execution plans, ensuring all deadlines and submission requirements are met.</p><p>Coordinate internally with Sales, Technical, Procurement, Logistics, Finance, and Management throughout the tendering process.</p><p>Respond promptly to tender clarifications, client inquiries, and bidding authority requirements.</p><p>Attend pre-bid meetings, site visits, and project coordination meetings whenever required.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Mechanical Engineering (Master's degree is considered an asset).</p><p>Proven 10 15 years of experience in tender management, project management, and preparing competitive bids (experience working on projects funded by organizations such as UNDP, UNOPS, USAID, or similar international organizations is an asset).</p><p>Knowledge and experience in one or more of the following fields: Automotive equipment, refrigeration equipment, CNC Machines and other machinery, and tools.</p><p>English language is a must (French is a plus).</p><p>High level of ethical standards &amp; confidentiality.</p><p>Proficient in Microsoft Office Suite.</p><p>Experience with AutoCAD drawings is an asset.</p><p>High attention to detail with excellent analytical and organizational abilities.</p><p>Ability to work in a fast-paced and team-oriented environment.</p><p>Ability to manage multiple tenders simultaneously and work effectively under pressure while meeting strict deadlines.</p>

<p>The first months in this role are focused squarely on automating regression across the platform. You will work within the Qa team, reporting to the QA Manager. You'll inherit a mixed landscape of Playwright, Postman, Selenium, and Datadog-based automation and be expected to consolidate it into something coherent, maintainable, and genuinely useful. This is not a role for someone who writes test scripts to a ticket queue. We're looking for someone who thinks critically about test architecture, uses AI tooling as a force multiplier rather than a shortcut, and has the scripting depth to build automation that actually survives contact with a changing codebase.</p><h3>Key responsibilities</h3><h4>Regression Automation and Test Architecture</h4><p>Drive the evolution of our AI-augmented automation framework using Claude code and Playwright MCP to build the automated regression suite across web (React / AngularJS), API, and mobile (React Native) surfaces. Structure test architecture for maintainability: page object models, stable selectors, environment-aware configuration, and clear separation between smoke, regression, and integration suites. Integrate Postman collections into the CI/CD pipeline for API-level coverage, including Sadie, iPOS, and email integration endpoints. Own the migration and consolidation of existing Selenium and Datadog-based automation into the target toolchain, deprecating fragmented coverage as consolidated suites reach parity. Manage test case organisation and coverage tracking in Testomat.io, ensuring the test library reflects the current product and remains actionable.</p><h4>AI-Augmented Testing Practice</h4><p>Accelerate AI driven testing using AI tools actively and critically for test generation, improved coverage analysis, and to identify gaps rather than relying on AI output uncritically. Scale autonomous testing by expanding and refining our library of custom Claude skills to achieve consistent, self-healing and resilient test execution. Contribute to the team's emerging standards for AI-assisted QA: what AI does well, where human judgement is required, and how to review and validate generated test logic. Identify opportunities to apply AI to test data generation, selector maintenance, and failure triage, and build repeatable patterns the wider QA function can adopt.</p><h4>Platform Integration and Delivery Alignment</h4><p>Work within GitLab CI/CD pipelines to integrate automation runs into the build and deployment process, targeting pre-merge and post-deploy execution stages. Collaborate with the QA Manager to align automation coverage with the manual test suite in Testomat.io, avoiding duplication and ensuring automation is targeted where it adds most value. Contribute to the team's Shape Up delivery rhythm: scoped automation work will be shaped as pitches, executed within fixed cycles, and shipped to a defined standard. Surface flaky tests, coverage gaps, and reliability issues proactively rather than waiting for release failures to expose them.</p><h3>About You</h3><p>You are a scripting-first automation engineer who brings genuine depth to test architecture, not just tool familiarity. You are comfortable working across web, API, mobile, and integration surfaces, and you use AI tooling as a multiplier for your own judgement, not a replacement for it. You care about quality as an outcome, not a process checkbox.</p><ul><li>Strong scripting ability in JavaScript or TypeScript, with the depth to write maintainable, structured automation rather than brittle scripts</li><li>AI tooling mastery, with hands on experience with Claude code CLI, MCP servers or similar LLM-driven development tools</li><li>Demonstrated prompt engineering skills with a proven ability to write, version and optimise LLM prompts and structured Claude skills along with the critical judgement to review and validate AI-generated output</li><li>Hands-on Playwright experience across browser automation, including page object model patterns, environment configuration, and CI integration</li><li>Postman experience for API test authoring and collection-based pipeline integration</li><li>Demonstrated use of AI coding tools (Claude, Copilot, or equivalent) in a testing context, with the critical judgement to review and validate AI-generated output</li><li>Experience integrating automated tests into GitLab CI/CD pipelines (or equivalent: GitHub Actions, Azure DevOps)</li><li>Hands-on experience automating mobile app testing, including React Native or equivalent cross-platform frameworks, covering UI flows, device/emulator configuration, and integration with CI pipelines</li><li>Ability to read and understand application code sufficiently to write tests against it, trace failures to root causes, and identify testable boundaries</li><li>Experience working in a multi-surface environment covering web frontend, REST APIs, and mobile</li></ul><h3>Highly Desirable</h3><ul><li>Testomat.io experience for test management, coverage mapping, and CI integration</li><li>Familiarity with Selenium and an ability to assess and migrate existing Selenium-based suites</li><li>Experience with React-based frontends and an understanding of component-level testability</li><li>Exposure to React Native or mobile automation frameworks beyond the essentials (e.g. Detox, Appium, or Maestro)</li><li>Familiarity with Linear for work tracking and Notion for documentation, consistent with how the team operates</li><li>Prior experience in a SaaS or platform engineering environment where test reliability directly affects release confidence</li></ul><h3>What's in It for You</h3><p>This is a role where you will own something that matters from day one. Automated regression is a critical-path deliverable for NBI's transformation, and the work you do in the first few months will directly shape how confidently and frequently the engineering team can ship. You'll work across a modern, evolving stack with genuine latitude to shape the automation architecture rather than inherit someone else's unmaintainable framework. You'll be close to the engineering and QA practice, connected to Platform and Security leadership, and working in a team that takes quality seriously as a shared responsibility, not a gate at the end of the pipeline. The tooling is modern (GitLab, Linear, Notion, Testomat, Playwright), the environment is remote-first, and the work is consequential</p><p><strong>Desired Candidate Profile</strong></p><h3>About You</h3><p>You are a scripting-first automation engineer who brings genuine depth to test architecture, not just tool familiarity. You are comfortable working across web, API, mobile, and integration surfaces, and you use AI tooling as a multiplier for your own judgement, not a replacement for it. You care about quality as an outcome, not a process checkbox.</p><ul><li>Strong scripting ability in JavaScript or TypeScript, with the depth to write maintainable, structured automation rather than brittle scripts</li><li>AI tooling mastery, with hands on experience with Claude code CLI, MCP servers or similar LLM-driven development tools</li><li>Demonstrated prompt engineering skills with a proven ability to write, version and optimise LLM prompts and structured Claude skills along with the critical judgement to review and validate AI-generated output</li><li>Hands-on Playwright experience across browser automation, including page object model patterns, environment configuration, and CI integration</li><li>Postman experience for API test authoring and collection-based pipeline integration</li><li>Demonstrated use of AI coding tools (Claude, Copilot, or equivalent) in a testing context, with the critical judgement to review and validate AI-generated output</li><li>Experience integrating automated tests into GitLab CI/CD pipelines (or equivalent: GitHub Actions, Azure DevOps)</li><li>Hands-on experience automating mobile app testing, including React Native or equivalent cross-platform frameworks, covering UI flows, device/emulator configuration, and integration with CI pipelines</li><li>Ability to read and understand application code sufficiently to write tests against it, trace failures to root causes, and identify testable boundaries</li><li>Experience working in a multi-surface environment covering web frontend, REST APIs, and mobile</li></ul><h3>Highly Desirable</h3><ul><li>Testomat.io experience for test management, coverage mapping, and CI integration</li><li>Familiarity with Selenium and an ability to assess and migrate existing Selenium-based suites</li><li>Experience with React-based frontends and an understanding of component-level testability</li><li>Exposure to React Native or mobile automation frameworks beyond the essentials (e.g. Detox, Appium, or Maestro)</li><li>Familiarity with Linear for work tracking and Notion for documentation, consistent with how the team operates</li><li>Prior experience in a SaaS or platform engineering environment where test reliability directly affects release confidence</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Company Description<br><p>We are <strong>Ethos, </strong>the fastest growing digital communication group in MENA. We think big and&nbsp;we make big ideas come to life. We are crazy about the digital world and we aim high. We are looking for talented and valued people with interesting and provocative ideas, along with bold and diverse perspectives. Our culture is all about the thriving young team of us in 4 offices around MENA, while we boldly help impact the success of&nbsp; leading brands like McDonald's, General Motors, and American Express.</p><br><br>Job Description<br><p>We are looking for an experienced AI Systems &amp; Automation Engineer to design and build the systems that move work across the organization. This is a project-based engagement focused on building new workflows and strengthening how our teams operate.</p><br><p>You will work across teams to turn complex processes into reliable, scalable workflows, connecting models, data, platforms, and internal tools with a strong focus on performance, usability, and long term maintainability.</p><br><p><strong>Responsibilities</strong></p><br><ul><li>Design and build intelligent systems and automation workflows across business functions.</li><li>Develop agentic and multi agent architectures for orchestration, retrieval, validation, and execution.</li><li>Integrate platforms and services through APIs, MCP, webhooks, databases, and internal systems.</li><li>Build knowledge, retrieval, and memory layers across structured and unstructured data, and develop the backend services and data pipelines beneath them.</li><li>Create human in the loop workflows, approval logic, and quality control mechanisms, and identify which processes should stay manual.</li><li>Own reliability, scalability, observability, and maintainability across deployed systems.</li><li>Establish clear technical standards, documentation, and implementation practices the team can maintain.</li></ul><br>Qualifications<br><ul><li>Proven professional experience in AI engineering, software engineering, systems architecture, automation, or applied machine learning.</li><li>A track record of taking systems from architecture and prototype through to stable production deployment.</li><li>Deep working knowledge of LLMs in production: agentic systems, tool use, orchestration, retrieval, embeddings, vector search, contextual memory, and structured outputs.</li><li>Strong experience with APIs, MCP, service integrations, databases, webhooks, and data pipelines.</li><li>Advanced programming skills in Python, JavaScript/TypeScript, or comparable languages.</li><li>Experience with cloud infrastructure, containerization, deployment, version control, monitoring, and observability.</li><li>Strong understanding of authentication, permissions, data security, and system reliability.</li><li>Strong systems thinking and the ability to simplify complex workflows without compromising technical rigor.</li><li>Ability to work effectively with both technical and non technical teams.</li><li>Experience working within creative, marketing, media, content, strategy, or operational environments.</li><li>Experience with internal platforms, knowledge systems, generative pipelines, workflow engines, or enterprise automation.</li><li>Arabic and English working proficiency, or experience building bilingual content systems.</li></ul><br><br> </div>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p>Tasks &amp; Responsibilities</p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p>Competencies</p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p>Tools &amp; Certifications</p><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul><p><strong>Desired Candidate Profile</strong></p><p>Master's degree in Computer Science or equivalent</p><p>Previous experience building and shipping production ML/AI systems</p><p>Fluent in English and Arabic</p>

<p>Build production AI systems for clients. You'll design and ship agentic workflows on Claude and AWS Bedrock AgentCore, retrieval systems backed by Bedrock Knowledge Bases, and MCP-based automations that connect directly into client tool stacks (Notion, Linear, HubSpot, AWS, Google Workspace, and more). This is a hands-on build role. You will write code, deploy infrastructure, and sit in client rooms explaining why the system behaves the way it does.</p><p><strong>Tasks &amp; Responsibilities</strong></p><ul><li>Design and build applied AI systems on Claude and AWS Bedrock AgentCore: RAG pipelines backed by Bedrock Knowledge Bases, agentic workflows, and multi-tool orchestration via MCP.</li><li>Own delivery of AI components end-to-end: architecture, implementation, evaluation, and post-launch monitoring.</li><li>Integrate Claude-based agents with client infrastructure and business tools via MCP servers (HubSpot, Notion, Linear, Google Workspace).</li><li>Translate ambiguous client problems into scoped technical builds with clear success criteria and numbers attached.</li><li>Document architecture and decisions in the client's Notion record so infra details never live only in someone's head.</li><li>Work alongside Pre-Sales Engineers during scoping calls to validate technical feasibility before commitments are made.</li><li>Select and tune the right model, retrieval strategy, and Knowledge Base configuration per use case.</li><li>Build and maintain eval suites (offline test sets, regression checks, LLM-as-judge scoring) that catch quality drift before a client does.</li><li>Design agentic control flow: tool-selection logic, retry/fallback paths, and guardrails against runaway loops or unsafe tool calls.</li><li>Instrument production systems with logging, tracing, and cost/latency dashboards to debug a bad output from a client.</li><li>Write modular infrastructure as code (Terraform) for AI workloads on AWS.</li><li>Conduct architecture reviews on other engineers' AI builds and flag failure modes before they ship.</li></ul><p><strong>Competencies</strong></p><ul><li>Can explain to a client, in plain language, why an agent made the tool call it made</li><li>Comfortable debugging a production LLM failure under time pressure, not just in a notebook</li><li>Can wire an MCP server into an agent and debug why a tool call didn't fire</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Education, Experience &amp; Language</h2><ul><li>Master's degree in Computer Science or equivalent</li><li>Previous experience building and shipping production ML/AI systems</li><li>Fluent in English and Arabic</li></ul><h2>Tools &amp; Certifications</h2><ul><li>Strong Python engineering; comfort with AWS</li><li>Practical experience with LLM application patterns: RAG, agentic tool-use via MCP, prompt engineering, evaluation design</li><li>Hands-on experience with AWS Bedrock AgentCore and Bedrock Knowledge Bases</li><li>Nice to have: AWS Certified Machine Learning Engineer Associate, AWS Certified Generative AI Developer Professional, AWS Certified Solutions Architect Associate or Professional, AWS Certified Developer Associate, AWS Certified Security Specialty (relevant given our compliance posture)</li></ul>

<p><h4>Aspire Software company overview</h4> <p>Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>Role overview</h4> <p>This role is a strong fit for someone whose center of gravity is backend design, API design, and system evolution. You’ll help modernize and grow a cloud-based SaaS platform used in real operational environments, with the chance to shape both new features and the way existing systems are improved over time.</p> <h4>What you’ll do</h4> <ul> <li>Design, build, and refine full stack features for a multi-tenant SaaS platform serving enterprise restaurant and catering customers.</li> <li>Design and implement backend services and REST APIs with strong attention to clarity, maintainability, and backward compatibility.</li> <li>Work across Java/Spring services and modern React/Node.js applications as part of an evolving platform.</li> <li>Contribute to architectural improvements and help move existing patterns toward more event-driven designs over time.</li> <li>Write automated tests and help maintain a reliable, secure, production-ready engineering environment.</li> <li>Author and maintain CI/CD workflows in GitHub Actions and participate in the full lifecycle from design through deployment.</li> <li>Collaborate closely with product and engineering peers to turn real-world customer needs into thoughtful software solutions.</li> <li>Take ownership of the features you build, with a strong focus on follow-through, product quality, and steady delivery.</li> </ul> <h4>Requirements</h4> <ul> <li>Professional experience as a full stack engineer, with strong backend depth and comfort working across the stack.</li> <li>Strong experience with Java, Spring Boot, and Hibernate in production systems.</li> <li>Production experience with React and Node.js.</li> <li>Experience designing and implementing REST APIs in real-world applications.</li> <li>Experience working with cloud-based SaaS applications and multi-tenant product considerations.</li> <li>Familiarity with message-based or event-driven systems.</li> <li>Experience shipping meaningful software in e-commerce, ERP, or CRM environments; e-commerce experience is especially relevant for this role.</li> <li>Commitment to automated testing, code quality, and secure development practices, including awareness of common web security risks.</li> <li>Experience with CI/CD pipelines, including hands-on work with GitHub Actions or similar tooling.</li> </ul> <h4>Nice to have</h4> <ul> <li>Experience with approval workflows, complex pricing, or enterprise order flows.</li> <li>Exposure to POS integrations or payment gateways.</li> <li>Experience with Azure Cosmos DB or other document databases.</li> <li>Familiarity with observability practices and OTEL-style instrumentation.</li> <li>Exposure to infrastructure-as-code tools, or interest in learning within an established cloud environment.</li> <li>Experience in hospitality, restaurant, or catering software.</li> </ul></p><p></p>