Food industries engineer Jobs

<p><br></p><p><br></p><p>We are seeking a qualified <b>Architectural Engineer</b> to join our project team for a high-end construction / fit-out project.</p>

<p><b>Sr. Product Engineer</b></p><p><br></p><p>Lead technical initiatives and mentor the engineering team. Own key systems end-to-end and drive architectural decisions.</p>

<p>Job Description We are seeking a talented and motivated Senior Mechanical Engineer to join our team in Amman, Jordan. In this role, you will take the lead on mechanical engineering design tasks, deliver high-quality technical solutions, mentor junior engineers, and collaborate closely with multidisciplinary teams to ensure the successful delivery of engineering projects. This is a key technical delivery role for an engineer ready to work with a high degree of independence and take ownership of design outcomes. Key Responsibilities Lead and deliver the mechanical design of projects from concept through detailed design and construction support. Implement mechanical engineering methodologies, standards, and best practices across assigned projects. Perform and check engineering calculations, technical analyses, and system evaluations to optimize performance, reliability, and cost-effectiveness. Prepare, review, and coordinate mechanical design drawings, specifications, schedules, and technical reports. Collaborate with multidisciplinary teams to develop integrated solutions and resolve design interfaces. Ensure all designs comply with applicable codes, standards, client requirements, and company quality procedures. Identify technical issues, evaluate alternatives, and develop practical, innovative engineering solutions. Support project planning activities and monitor progress against schedules, deliverables, and quality standards. Coordinate with clients, contractors, vendors, and project stakeholders as required. Provide technical guidance, mentoring, and support to graduate and junior engineers. Participate in design reviews, value engineering studies, and quality assurance/quality control processes. Contribute to continuous improvement initiatives and knowledge-sharing within the engineering team. Stay current with industry trends, emerging technologies, sustainability practices, and digital engineering tools.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications Bachelor's Degree in Mechanical Engineering (Master's degree an advantage). 6 8 years of relevant mechanical engineering experience, with demonstrated ability to lead the mechanical design of projects independently and coordinate across disciplines. Sound working knowledge of relevant international codes and standards. Proven experience in the design and delivery of multidisciplinary engineering projects. Strong analytical, technical, and problem-solving skills. Excellent communication, coordination, and teamwork abilities. Proficiency in industry-standard engineering and design software. Professional registration or working towards chartership/professional membership is an advantage.</p>

<p>We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what s possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what s next to power infinite possibilities for our customers, colleagues and society at large.</p><p>About the Role:</p><p>The Senior Software Engineer transforms high-level architecture into detailed technical solutions while building scalable, high-performing applications that enhance customer learning and engagement experiences. Operating across critical areas of the technology stack, this role is responsible for designing, developing, testing, and releasing software solutions that deliver business value and exceptional customer outcomes. Working independently with minimal guidance, the Senior Software Engineer takes ownership of services, systems, and technical responsibilities, applying a full-stack, full-lifecycle approach to software delivery. This role also provides technical leadership, mentors team members, and contributes to the continuous improvement of engineering practices and technologies.</p><p>How You Will Make an Impact</p><p>Application Design &amp; Development</p><ul><li>Design, develop, and release scalable applications and systems that improve customer learning and engagement experiences.</li><li>Translate high-level architectural concepts into detailed technical designs that are clearly understood and implemented by development teams.</li><li>Build robust, maintainable software solutions that support business objectives and customer needs.</li></ul><p>Technical Leadership</p><ul><li>Serve as a technical leader within the engineering team, providing guidance on design decisions, architecture, and development best practices.</li><li>Mentor and coach junior engineers, helping to elevate technical capabilities across the team.</li><li>Drive technical excellence through knowledge sharing, collaboration, and continuous improvement initiatives.</li></ul><p>System Ownership &amp; Delivery</p><ul><li>Take ownership of services and systems throughout the entire software development lifecycle.</li><li>Partner with cross-functional teams to design, build, deploy, monitor, and support solutions in production environments.</li><li>Evaluate, recommend, and implement technologies that improve scalability, reliability, and maintainability.</li></ul><p>Code Quality &amp; Engineering Excellence</p><ul><li>Establish and maintain code repository structures, branching strategies, and development standards.</li><li>Conduct thorough code reviews and champion clean, maintainable, and high-quality code.</li><li>Promote engineering best practices including test-driven development, automated testing, continuous integration, and continuous deployment.</li></ul><p>Cross-Functional Collaboration</p><ul><li>Collaborate closely with Product, Data Engineering, Data Science, Site Reliability Engineering (SRE), and other specialized teams.</li><li>Contribute effectively within multidisciplinary Agile teams to deliver business and customer value.</li><li>Communicate technical concepts clearly to both technical and non-technical stakeholders.</li></ul><p>Innovation &amp; Continuous Improvement</p><ul><li>Drive innovation by exploring and implementing new tools, technologies, and engineering approaches.</li><li>Lead technical initiatives that improve platform performance, scalability, and customer experience.</li><li>Contribute to strategic technology decisions that support long-term business objectives.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>What We Look For</h2><p>Required Qualifications</p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.</li><li>6+ years of professional software development experience.</li><li>Proven experience serving as a technical lead or senior engineer within a software engineering team.</li><li>Strong proficiency in C#/.NET development.</li><li>Expert understanding of object-oriented design principles, software architecture, and system design.</li><li>Experience building and consuming web APIs and microservices-based architectures.</li><li>Experience working with cloud-based services and containerization technologies such as Docker.</li><li>Strong knowledge of relational and/or non-relational database technologies.</li><li>Experience with Agile software development methodologies and DevOps practices.</li><li>Hands-on experience with continuous integration and continuous deployment (CI/CD) pipelines.</li><li>Experience with automated testing and test-driven development (TDD).</li><li>Excellent written and verbal communication skills.</li><li>Demonstrated ability to work independently while collaborating effectively within cross-functional teams.</li></ul><p>Preferred Qualifications</p><ul><li>Experience working within multidisciplinary product and engineering organizations.</li><li>Knowledge of modern cloud-native application architectures.</li><li>Experience supporting large-scale, customer-facing applications.</li><li>Track record of successfully leading technical initiatives and driving engineering innovation.</li><li>Passion for mentoring and developing engineering talent</li></ul>

<p>MID Contracting Company is looking for a talented Senior Procurement Civil Engineer to join the team, to lead end-to-end sourcing for civil packages.</p>

<p>MID Contracting Company is looking for a talented Senior Procurement Civil Engineer to join the team, to lead end-to-end sourcing for civil packages.</p>

<p><b>Product Engineer</b></p><p><br></p><p>Build and ship features that help thousands of salons run their business. Work across the full stack with a small, fast-moving team.</p>

<p>MID Contracting Company is seeking a skilled BIM MEP Engineer to join our construction team. This role focuses primarily on BIM-based MEP modeling, coordination, and technical support within a contracting environment.</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are looking for Expert Storage Administrators with strong hands-on experience managing S3 and NFS storage platforms within high-performance computing (HPC) environments.<br> The role is responsible for ensuring high availability, performance, scalability, capacity, and secure data access across storage infrastructure.<br> Key Responsibilities Administer, configure, and support S3 and NFS storage platforms .<br> Monitor and optimize storage performance, capacity, availability, and scalability .<br> Manage storage access, permissions, quotas, replication, and data protection .<br> Troubleshoot storage, filesystem, and data-access issues across HPC environments.<br> Support storage integration with Linux, Kubernetes, and HPC workloads .<br> Perform storage health monitoring, performance analysis, and capacity planning.<br> Support data replication, backup, recovery, and protection mechanisms.<br> Automate routine storage administration and maintenance activities where applicable.<br> Participate in incident resolution and root-cause analysis for storage-related issues.<br> Maintain technical documentation, configurations, and operational procedures.<br> Strong hands-on experience as a Storage Administrator / Storage Engineer .<br> Expert-level S3 and NFS administration is mandatory.<br> Experience supporting HPC storage environments .<br> Strong knowledge of Linux storage and filesystem administration .<br> Experience integrating storage with Kubernetes/containerized workloads .<br> Strong understanding of: S3 / Object Storage NFS Storage performance &amp; monitoring Capacity management Permissions &amp; access control Quotas Replication Data protection High availability Experience troubleshooting complex storage and data-access issues .<br> Experience with storage automation/scripting is preferred.<br> Relevant storage certifications are preferred.<br></span> </div>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high-value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM-based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human-in-the-loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long-term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8 plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API-based system integration.<br> Experience designing and delivering production grade AI or data-driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low-value AI ideas.</p> <h4>Preferred qualifications:</h4> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image-based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<p><h4>About Zaincash</h4> <p>ZainCash Iraq is a leading mobile wallet in Iraq and recognized as Forbes top fintech company of 2023 and 2024 as well as GSMA’s best mobile innovation supporting humanitarian situations. The company offers a range of consumer and business services including local and international money transfer, bill payments, companion payment cards, payroll, aid disbursement, and more.</p> <h4>Responsibilities:</h4> <p><strong>1. AI strategy and use case development</strong><br> Identify high value AI opportunities across customer experience, fraud detection, KYC, operations automation, risk management, compliance, customer support, marketing, analytics, and internal productivity.<br> Work with business and technology stakeholders to evaluate AI ideas based on business value, feasibility, data readiness, cost, risk, and implementation complexity.<br> Build and maintain an AI use case pipeline with clear prioritization, expected impact, ownership, and delivery roadmap.</p> <p><strong>2. Solution design and technical leadership</strong><br> Translate business problems into practical AI solution designs, including LLM based solutions, RAG, workflow automation, predictive models, document intelligence, image analysis, and intelligent agents.<br> Lead technical evaluation of AI platforms, models, tools, APIs, and vendors.<br> Define the right architecture for each use case, balancing accuracy, cost, latency, security, scalability, and maintainability.<br> Guide engineering teams on AI integration patterns, APIs, model deployment, observability, testing, and production readiness.</p> <p><strong>3. Proof of concept and production delivery</strong><br> Lead AI proof of concepts from problem framing to testing and business validation.<br> Define success metrics for each AI use case, including accuracy, automation rate, cost saving, fraud reduction, customer experience improvement, or operational efficiency.<br> Ensure successful use cases are transitioned from PoC to production with proper governance, monitoring, documentation, and support model.<br> Avoid AI for the sake of AI by ensuring every solution has a clear business case and measurable value.</p> <p><strong>4. AI governance, risk, and compliance</strong><br> Establish practical AI governance standards covering data privacy, security, responsible AI, model risk, explainability, auditability, and human in the loop controls.<br> Work with information security, risk, compliance, legal, and internal audit to ensure AI solutions are aligned with regulatory and internal control requirements.<br> Evaluate AI solutions for data leakage, hallucination risk, bias, misuse, operational risk, and vendor dependency.<br> Define approval gates for AI use cases before they are deployed into production.</p> <p><strong>5. Data and platform readiness</strong><br> Assess the availability, quality, and accessibility of data required for AI use cases.<br> Work with data, application, infrastructure, and security teams to improve AI readiness across ZainCash platforms.<br> Support the creation of reusable AI capabilities, such as document processing, knowledge search, customer support assistants, fraud signals, workflow automation, and internal copilots.<br> Promote reusable patterns instead of isolated experiments.</p> <p><strong>6. Vendor and partner evaluation</strong><br> Evaluate AI vendors, cloud AI services, local models, open source frameworks, and specialized fintech AI solutions.<br> Run structured vendor assessments covering technical fit, security, data residency, cost, integration effort, support, and long term sustainability.<br> Support procurement and management in making informed build versus buy decisions.</p> <p><strong>7. Team enablement and knowledge sharing</strong><br> Mentor engineers, analysts, product owners, and business teams on practical AI usage.<br> Create awareness sessions, internal guidelines, and reusable templates for AI opportunity assessment.<br> Support the development of internal AI capabilities and reduce dependency on external vendors where possible.</p> <h4>Requirements</h4> <p>Bachelor degree in computer science, software engineering, data science, AI, or a related technical field.<br> 8-plus years of overall technology experience, with at least 3 years in AI, machine learning, data science, or advanced analytics.<br> Strong hands-on understanding of modern AI concepts, including LLMs, RAG, embeddings, prompt engineering, AI agents, computer vision, document AI, predictive analytics, and MLOps.<br> Strong software engineering background, preferably with Python and API based system integration.<br> Experience designing and delivering production grade AI or data driven solutions.<br> Good understanding of cloud AI services, managed ML platforms, open source AI frameworks, and model deployment approaches.<br> Strong understanding of data privacy, security, responsible AI, and model governance.<br> Ability to communicate clearly with both technical and non-technical stakeholders.<br> Strong problem solving skills and ability to challenge unclear or low value AI ideas.</p> <h4>Preferred qualifications:</h4> <ul> <li>Experience in fintech, banking, payments, telecom, financial services, or regulated industries.</li> <li>Experience with fraud detection, KYC automation, AML support, customer service automation, or transaction analytics.</li> <li>Experience with Arabic language AI use cases, OCR, document processing, or image based verification.</li> <li>Experience with OpenShift, Kubernetes, microservices, API gateways, CI/CD, and enterprise integration.</li> <li>Experience evaluating AI vendors and preparing business cases for technology investment.</li> <li>Knowledge of data platforms, data pipelines, BI, and analytics environments.</li> </ul></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><span>The Field Service Engineer will work as part of the technical team reporting to the Service Manager or the Service Team Lead, providing support on assigned instruments and systems to customers across Jordan. The role focuses on delivering high-quality service, ensuring customer satisfaction and efficiently resolving reported incidents and service requests.<br></span></p><br><p><b><span>Main Responsibilities will Include, but not limited to,</span></b></p><br><p><span><span><span>·</span></span></span><span>Provide independent, on-site technical support in line with customer Service Level Agreements (SLAs), including installations, relocations, certifications (IQ/OQ/PQ), and repair activities.</span></p><br><p><span><span><span>·</span></span></span><span>Deliver advanced remote support, diagnostics, and fixing for technical issues raised.</span></p><br><p><span><span><span>·</span></span></span><span>Support customers by building strong partnerships, mentoring, and leading customers’ service teams to ensure service excellence.</span></p><br><p><span><span><span>·</span></span></span><span>Plan, prioritize, and complete corrective and preventive maintenance activities, including upgrades, in compliance with regulatory requirements and defined procedures to ensure uninterrupted customers operations.</span></p><br><p><span><span><span>·</span></span></span><span>Conduct pre-installation site assessments and advise customers to ensure all requirements are met for the successful installation for devices and equipment.</span></p><br><p><span><span><span>·</span></span></span><span>Follow up on spare parts requests and inventory to ensure the timely availability of service materials.</span></p><br><p><span><span><span>·</span></span></span><span>Communicate effectively with vendors and suppliers’ technical team and medical team to ensure smooth operations.</span></p><br><br><span>Requirements<span><span><span>One of the Leading Healthcare Solutions providers in Jordan, looking to hire the Position :</span></span></span><br><span><span><span><b><u>Field Service Engineer, Laboratory Solutions&nbsp;</u></b></span></span></span><span><span><span>- Male&nbsp;</span></span></span><span><span>with the following requirements :</span></span><br></span><p><span><span><span>·&nbsp;&nbsp; </span></span></span><span><span>1–2 years of hands-on experience servicing IVD laboratory diagnostics equipment, with specific experience supporting automated systems is highly preferred.</span></span></p><br><p><span><span><span>·&nbsp;&nbsp; </span></span></span><span><span>Proven technical expertise in the installation, maintenance, troubleshooting, and repair of laboratory instrumentation.</span></span></p><br><p><span><span><span>·&nbsp;&nbsp; </span></span></span><span><span>Bachelor’s degree or equivalent experience in Biomedical Engineering, Electronics Engineering, or a related field.</span></span></p><br><p><span><span><span>·&nbsp;&nbsp; </span></span></span><span><span>Strong communication and presentation skills with the ability to engage effectively with customers and vendors.</span></span></p><br><p><span><span><span>·&nbsp;&nbsp; </span></span></span><span><span>A collaborative great teammate who thrives in multi-functional environments and can lead multiple priorities in a fast-paced setting.</span></span></p><br><p><span><span><span>·&nbsp;&nbsp; </span></span></span><span><span>Proficiency in Microsoft Office, hold valid driver’s license with an access to a car; very good command of English (written and spoken)</span></span></p><br><ul><li><span><span>Have&nbsp; a driving license.</span></span></li></ul><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><u><b>Job Summary</b></u> <br></span><p>The Mechanical Technical Engineer supervises and follow up mechanical draftsmen work schedule, verify and check mechanical shop drawings and technical submittals.</p><br> <br><br><u><b>Job Responsibilities 1</b></u> <br><p>Ensure the discipline shop drawings are prepared in accordance with the relevant design drawings,specifications, details in coordination with all other disciplines.</p><br> <p>Ensure that the drawings submission schedule efficiently within the target schedule in the best quality.</p><br> <p>Ensure the shop drawings are executed in compliance with local authorities that has jurisdiction over the discipline scope of work i.e. Health and Safety and all standards applicable to the project such as QCS2014 and the project specifications.</p><br> <p>Maintain adherence to the relevant Company's policies and procedures.</p><br> <p>Ensure the satisfaction of the client, consultant and main contractor and MEP project manager/CM always.</p><br> <p>Guide the technical engineers/draftsmen through the work activities management process throughout&nbsp;the duration of the project engineering phase. Assign specific targets to the various work activities.</p><br> <p>Plan and allocate responsibilities to team members.</p><br> <p>Review and approve Mechanical shop drawings before submission.</p><br> <p>Review and approve Mechanical design calculations before submission.</p><br> <p>Review and sign-off Mechanical material technical submittal before issuance to consultant.</p><br> <p>Review and approve method statements in compliance with project specifications, authorities, etc...</p><br> <p>Liaise with other technical departments(architect, structural..etc.............) for the relevant reviews, approvals etc.</p><br> <p>Support the implementation of HSE initiatives, participate in safety awareness activities, and contribute to incident reporting and resolution in alignment with company and IMS policies</p><br> <br><br><u><b>Job Responsibilities 2</b></u> <br><br><b>Additional Responsibilities 3</b> <br><br><u><b>Job Knowledge &amp; Skills</b></u> <br><p>Technical background and ability to prepare and maintain tracking schedules</p><br> <p>Technical knowledge of Mechanical Engineering parameters</p><br> <p>Strong Knowledge of the Construction Field</p><br> <p>Mechanical codes and Standards</p><br> <p>NFPA</p><br> <p>Local Regulations</p><br> <p>UPDA Certified Engineer or Certification with attestation.</p><br><br><br><u><b>Job Experience</b></u> <br><p>Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus</p><br><br><br><u><b>Competencies</b></u> <br>Agility<br>AI Fluency<br>Resilience<br>Quality_321977507<br>Leadership_321977503<br>Electrical Instrumentation L3<br>PLC hardware trouble shooting and maintenance L3<br>Failure mode defect analysis L3<br>Reading Electrical Schemes L3<br>Electrical load diagrams / schedules and calculation L3<br><br><br><u><b>Education</b></u> <br>Bachelor's Degree in Engineering<br><br><br><br> </div>

<p><h4>Description</h4> <p>We are looking for a sales engineer - cybersecurity services to join our managed services team and support the growth and delivery of our cybersecurity solutions.</p> <p>As a sales engineer, you will act as a technical expert and trusted advisor to our sales team and clients, helping to identify cybersecurity needs and tailor solutions that address complex security challenges.</p> <p>This role requires strong technical knowledge of cybersecurity products and services, combined with excellent communication and interpersonal skills to effectively articulate technical concepts to both technical and non-technical stakeholders.</p> <h4>Key responsibilities</h4> <ul> <li>Collaborate with sales, engineering, and operations teams to develop and present tailored cybersecurity service solutions.</li> <li>Engage with prospective and existing clients to understand their security requirements and challenges.</li> <li>Deliver technical presentations, demonstrations, and proof of concepts to articulate the value of our cybersecurity services.</li> <li>Assist in the development of proposals, statements of work, and project scoping.</li> <li>Provide technical support throughout the sales cycle, including responding to RFPs and RFIs.</li> <li>Stay current with cybersecurity trends, technologies, and industry regulations to inform sales strategies.</li> <li>Support marketing and business development initiatives by providing technical insights and content.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in cybersecurity, computer science, engineering, or a related field.</li> <li>3+ years of experience in cybersecurity solutions, consulting, or technical sales engineering.</li> <li>Strong understanding of cybersecurity technologies, including network security, threat detection, identity and access management, and compliance standards.</li> <li>Excellent communication and presentation skills, with the ability to translate technical information for diverse audiences.</li> <li>Experience collaborating with sales teams and managing client relationships.</li> <li>Ability to handle multiple projects and prioritize tasks in a fast-paced environment.</li> <li>Willingness to travel as needed to meet with clients and attend industry events.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Certifications such as CISSP, CISA, or sales engineering credentials.</li> <li>Knowledge of cloud security platforms and managed security services.</li> <li>Familiarity with cybersecurity frameworks like NIST, ISO 27001, or CSA CCM.</li> <li>Experience working in managed services or consulting environments.</li> </ul> <h4>Benefits</h4> <ul> <li>Opportunity to work with a leading cybersecurity services company.</li> <li>Exposure to major cybersecurity governance and compliance projects in KSA.</li> <li>Remote work from Jordan.</li> <li>Professional growth in cybersecurity consulting, risk, and compliance.</li> <li>Collaborative and expert-driven work environment.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>We are looking for a sales engineer - cybersecurity services to join our managed services team and support the growth and delivery of our cybersecurity solutions.</p> <p>As a sales engineer, you will act as a technical expert and trusted advisor to our sales team and clients, helping to identify cybersecurity needs and tailor solutions that address complex security challenges.</p> <p>This role requires strong technical knowledge of cybersecurity products and services, combined with excellent communication and interpersonal skills to effectively articulate technical concepts to both technical and non-technical stakeholders.</p> <h4>Key responsibilities</h4> <ul> <li>Collaborate with sales, engineering, and operations teams to develop and present tailored cybersecurity service solutions.</li> <li>Engage with prospective and existing clients to understand their security requirements and challenges.</li> <li>Deliver technical presentations, demonstrations, and proof of concepts to articulate the value of our cybersecurity services.</li> <li>Assist in the development of proposals, statements of work, and project scoping.</li> <li>Provide technical support throughout the sales cycle, including responding to RFPs and RFIs.</li> <li>Stay current with cybersecurity trends, technologies, and industry regulations to inform sales strategies.</li> <li>Support marketing and business development initiatives by providing technical insights and content.</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor’s degree in cybersecurity, computer science, engineering, or a related field.</li> <li>3+ years of experience in cybersecurity solutions, consulting, or technical sales engineering.</li> <li>Strong understanding of cybersecurity technologies, including network security, threat detection, identity and access management, and compliance standards.</li> <li>Excellent communication and presentation skills, with the ability to translate technical information for diverse audiences.</li> <li>Experience collaborating with sales teams and managing client relationships.</li> <li>Ability to handle multiple projects and prioritize tasks in a fast-paced environment.</li> <li>Willingness to travel as needed to meet with clients and attend industry events.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Certifications such as CISSP, CISA, or sales engineering credentials.</li> <li>Knowledge of cloud security platforms and managed security services.</li> <li>Familiarity with cybersecurity frameworks like NIST, ISO 27001, or CSA CCM.</li> <li>Experience working in managed services or consulting environments.</li> </ul> <h4>Benefits</h4> <ul> <li>Opportunity to work with a leading cybersecurity services company.</li> <li>Exposure to major cybersecurity governance and compliance projects in KSA.</li> <li>Remote work from Jordan.</li> <li>Professional growth in cybersecurity consulting, risk, and compliance.</li> <li>Collaborative and expert-driven work environment.</li> </ul></p><p></p>

<p>Responsibilities * Create and develop engaging content for Instagram, TikTok, Facebook, and other digital platforms. * Plan, shoot, and edit photos and short-form videos, Reels, and Stories. * Develop creative concepts and content ideas aligned with the brand strategy. * Write engaging captions, scripts, and promotional copy. * Cover events, workshops, classes, and brand activities through photo and video content. * Collaborate with the marketing, branding, and design teams to execute content campaigns. * Stay up to date with social media trends, formats, sounds, and content styles. * Manage and maintain a content calendar and ensure timely content delivery. * Monitor content performance and provide ideas for improving engagement and reach. * Ensure all content maintains a consistent visual identity and professional brand image. * Assist in developing campaigns and promotional materials when required. Qualifications * Bachelor s degree in Marketing, Communications, Media, Digital Marketing, or a related field is preferred. * Previous experience in content creation, social media, or digital marketing. * Strong photography and videography skills. * Proficiency in video and photo editing tools such as CapCut, Photoshop, or Adobe Premiere Pro &amp; Canva. * Strong understanding of Instagram, TikTok, and other social media platforms. * Excellent creative thinking and storytelling skills. * Strong written and verbal communication skills. * Ability to work in a fast-paced, creative environment. * Strong attention to detail and a good sense of visual aesthetics. * A portfolio showcasing previous content creation work is highly preferred. Requirements * Experience in fashion, art, design, lifestyle, education, or creative industries . * Ability to appear confidently on camera when required. * Knowledge of current social media trends and algorithms. * Basic understanding of social media analytics and performance metrics. * Ability to independently develop content ideas from concept to execution.</p><p><strong>Desired Candidate Profile</strong></p><p>Qualifications * Bachelor s degree in Marketing, Communications, Media, Digital Marketing, or a related field is preferred. * Previous experience in content creation, social media, or digital marketing. * Strong photography and videography skills. * Proficiency in video and photo editing tools such as CapCut, Photoshop, or Adobe Premiere Pro &amp; Canva. * Strong understanding of Instagram, TikTok, and other social media platforms. * Excellent creative thinking and storytelling skills. * Strong written and verbal communication skills. * Ability to work in a fast-paced, creative environment. * Strong attention to detail and a good sense of visual aesthetics. * A portfolio showcasing previous content creation work is highly preferred. Requirements * Experience in fashion, art, design, lifestyle, education, or creative industries . * Ability to appear confidently on camera when required. * Knowledge of current social media trends and algorithms. * Basic understanding of social media analytics and performance metrics. * Ability to independently develop content ideas from concept to execution.</p>

<p><h4>Description</h4> <p>About the opportunity<br> We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs. This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale. The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications. This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.</p> <h4>Role overview</h4> <p>We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably. This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms. Your success will be measured by the productivity and reliability gains you enable for other engineers.</p> <p>You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.</p> <p>At the staff level, you will:</p> <ul> <li>Define and evolve the technical foundations of the AI platform</li> <li>Build systems that accelerate engineering teams across the organisation</li> <li>Set standards for reliability, security, and scalability</li> <li>Lead architecture decisions and evaluate emerging technologies</li> <li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li> </ul> <h4>Key responsibilities</h4> <p><strong>AI platform infrastructure</strong><br> Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies.<br> Build and manage vector infrastructure, embedding pipelines, and retrieval systems.<br> Develop data pipelines for document ingestion, transformation, and storage.<br> Own deployment platforms, CI/CD pipelines, and infrastructure-as-code.</p> <p><strong>Observability & reliability</strong><br> Build observability across the AI stack, including latency, throughput, and model behavior monitoring.<br> Define SLOs, perform capacity planning, and lead reliability engineering initiatives.<br> Lead incident response, root-cause analysis, and postmortems.<br> Establish platform standards for operational excellence.</p> <p><strong>Force multiplication</strong><br> Build reusable internal tooling, SDKs, and deployment patterns.<br> Partner with engineering teams to translate infrastructure needs into scalable platform capabilities.<br> Mentor engineers and raise technical standards across the organisation.</p> <h4>Basic qualifications</h4> <ul> <li>10+ years of platform, infrastructure, or backend engineering experience</li> <li>Proven experience operating at staff or principal engineer level</li> <li>Deep expertise in Azure (AWS or GCP also valued)</li> <li>Strong Kubernetes and Docker experience</li> <li>Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code</li> <li>Experience building production data pipelines</li> <li>Proficiency in Python, Java/Kotlin, or Go</li> <li>Strong PostgreSQL knowledge at production scale</li> <li>Experience with distributed tracing, metrics, logging, and alerting</li> <li>Practical use of AI coding assistants such as Codex or Claude Code</li> <li>Excellent written and verbal communication skills</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience building RAG systems and retrieval infrastructure</li> <li>Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks</li> <li>Hands-on experience with GPU-based inference infrastructure</li> <li>Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate</li> <li>Familiarity with LLM inference optimization and evaluation frameworks</li> <li>Experience with speech and conversational AI systems</li> <li>Experience building internal developer platforms</li> <li>Security and compliance experience in highly regulated environments</li> </ul> <h4>Technology stack</h4> <p><strong>Backend & platform:</strong> Python, Java, Kotlin, Go, REST, gRPC<br> <strong>AI infrastructure:</strong> vLLM, TGI, TensorRT-LLM, GPU Serving<br> <strong>AI & LLM:</strong> LangChain, LangGraph, Microsoft Agent Framework, vector databases<br> <strong>Data:</strong> PostgreSQL, Redis, DocumentDB, Azure Blob Storage<br> <strong>Infrastructure:</strong> Azure, Docker, Kubernetes, Terraform, CI/CD<br> <strong>Observability:</strong> Langfuse, Grafana, Prometheus, OpenTelemetry<br> <strong>Security:</strong> Entra ID, RBAC, Secrets Management, Zero Trust<br> <strong>AI development:</strong> Codex, Claude Code, OpenCode</p> <h4>What we’re looking for</h4> <p>You are an engineer who:</p> <ul> <li>Thinks in systems and enables others to move faster</li> <li>Designs infrastructure that is reliable, scalable, and easy to operate</li> <li>Grounds technical decisions in evidence and operational data</li> <li>Raises engineering standards through architecture and mentorship</li> <li>Communicates clearly and transparently</li> <li>Embraces AI-native development practices</li> </ul> <h4>Why apply?</h4> <p>This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi. You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.</p></p><p></p>

<p><h4>Description</h4> <p>About the opportunity<br> We are hiring on behalf of a major government transformation initiative in Abu Dhabi that is building one of the world’s most ambitious applied AI programs. This organisation is developing the infrastructure and platforms that enable AI-powered public services at scale. The work spans sovereign model serving, vector infrastructure, retrieval systems, developer tooling, and deployment platforms that support critical government applications. This is a rare opportunity to build foundational AI infrastructure with significant real-world impact, in an environment where performance, reliability, and security are mission-critical.</p> <h4>Role overview</h4> <p>We are seeking a Staff AI Platform Engineer to own the platform infrastructure that enables engineering teams to build and operate AI systems efficiently and reliably. This is a senior individual contributor role focused on model serving, vector infrastructure, data pipelines, observability, and deployment platforms. Your success will be measured by the productivity and reliability gains you enable for other engineers.</p> <p>You will combine deep platform engineering expertise with a strong understanding of AI workload requirements, including inference performance, retrieval systems, and operational complexity.</p> <p>At the staff level, you will:</p> <ul> <li>Define and evolve the technical foundations of the AI platform</li> <li>Build systems that accelerate engineering teams across the organisation</li> <li>Set standards for reliability, security, and scalability</li> <li>Lead architecture decisions and evaluate emerging technologies</li> <li>Use AI coding tools such as Codex, Claude Code, or similar as part of your daily workflow</li> </ul> <h4>Key responsibilities</h4> <p><strong>AI platform infrastructure</strong><br> Design and operate model serving infrastructure using vLLM, TGI, TensorRT-LLM, or similar technologies.<br> Build and manage vector infrastructure, embedding pipelines, and retrieval systems.<br> Develop data pipelines for document ingestion, transformation, and storage.<br> Own deployment platforms, CI/CD pipelines, and infrastructure-as-code.</p> <p><strong>Observability & reliability</strong><br> Build observability across the AI stack, including latency, throughput, and model behavior monitoring.<br> Define SLOs, perform capacity planning, and lead reliability engineering initiatives.<br> Lead incident response, root-cause analysis, and postmortems.<br> Establish platform standards for operational excellence.</p> <p><strong>Force multiplication</strong><br> Build reusable internal tooling, SDKs, and deployment patterns.<br> Partner with engineering teams to translate infrastructure needs into scalable platform capabilities.<br> Mentor engineers and raise technical standards across the organisation.</p> <h4>Basic qualifications</h4> <ul> <li>10+ years of platform, infrastructure, or backend engineering experience</li> <li>Proven experience operating at staff or principal engineer level</li> <li>Deep expertise in Azure (AWS or GCP also valued)</li> <li>Strong Kubernetes and Docker experience</li> <li>Hands-on experience with Terraform, CI/CD pipelines, and infrastructure-as-code</li> <li>Experience building production data pipelines</li> <li>Proficiency in Python, Java/Kotlin, or Go</li> <li>Strong PostgreSQL knowledge at production scale</li> <li>Experience with distributed tracing, metrics, logging, and alerting</li> <li>Practical use of AI coding assistants such as Codex or Claude Code</li> <li>Excellent written and verbal communication skills</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Experience building RAG systems and retrieval infrastructure</li> <li>Experience with LangGraph, LangChain, Semantic Kernel, or similar frameworks</li> <li>Hands-on experience with GPU-based inference infrastructure</li> <li>Experience with vector databases such as pgvector, Qdrant, Pinecone, or Weaviate</li> <li>Familiarity with LLM inference optimization and evaluation frameworks</li> <li>Experience with speech and conversational AI systems</li> <li>Experience building internal developer platforms</li> <li>Security and compliance experience in highly regulated environments</li> </ul> <h4>Technology stack</h4> <p><strong>Backend & platform:</strong> Python, Java, Kotlin, Go, REST, gRPC<br> <strong>AI infrastructure:</strong> vLLM, TGI, TensorRT-LLM, GPU Serving<br> <strong>AI & LLM:</strong> LangChain, LangGraph, Microsoft Agent Framework, vector databases<br> <strong>Data:</strong> PostgreSQL, Redis, DocumentDB, Azure Blob Storage<br> <strong>Infrastructure:</strong> Azure, Docker, Kubernetes, Terraform, CI/CD<br> <strong>Observability:</strong> Langfuse, Grafana, Prometheus, OpenTelemetry<br> <strong>Security:</strong> Entra ID, RBAC, Secrets Management, Zero Trust<br> <strong>AI development:</strong> Codex, Claude Code, OpenCode</p> <h4>What we’re looking for</h4> <p>You are an engineer who:</p> <ul> <li>Thinks in systems and enables others to move faster</li> <li>Designs infrastructure that is reliable, scalable, and easy to operate</li> <li>Grounds technical decisions in evidence and operational data</li> <li>Raises engineering standards through architecture and mentorship</li> <li>Communicates clearly and transparently</li> <li>Embraces AI-native development practices</li> </ul> <h4>Why apply?</h4> <p>This role offers the opportunity to shape the technical foundations of a world-class AI platform supporting transformative public services in Abu Dhabi. You will tackle complex infrastructure challenges at the intersection of AI, cloud computing, and platform engineering while delivering meaningful impact at a national scale.</p></p><p></p>