Programming in Jordan

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Please submit your CV in English and indicate your level of English proficiency.<br> Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.<br> Participation is project-based, not permanent employment.<br> We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks.<br> You'll create challenging tasks and evaluation criteria within realistic simulated environments: Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust What this is NOT: Not data labeling Not prompt engineering Not writing code from scratch - the agent writes most of the code; you guide and evaluate What we look for: 5+ years in software development Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis Experience writing tests (functional, integration) English proficiency - B2+ Why this is hard: Frontier models are already good at coding.<br> Creating a task that genuinely challenges the best models is non-trivial.<br> You need to deeply understand where models fail and what scenarios reveal the difference between a good and a bad solution.<br> Tasks have many valid solutions - writing tests that accept all correct solutions and reject incorrect ones is harder than it sounds.<br> Requirements and benefits Educational qualifications A Master’s Degree in Computer Science, Software Engineering, Data Science / Data Analytics, Artificial Intelligence / Machine Learning, Computational Linguistics / Natural Language Processing (NLP), Information Systems or other related fields.<br> Bachelor’s degree is accepted if only candidate has 5 years of experience in the field.<br> Academic and/or Professional Experience Candidates should have a minimum of 3 years of professional experience in related roles or domain - specifically for QA-automation/testing or cybersecurity roles How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Compensation: Paid per accepted task.<br> Your rate depends on the qualification tier you reach and how efficiently you complete tasks — up to the equivalent of $50/hr .<br> Because payment is per task, a faster pace raises your effective hourly rate.<br> Why this freelance opportunity might be a great fit for you?<br> Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.<br> Work on advanced AI projects and gain valuable experience that enhances your portfolio.<br> - Influence how future AI models understand and communicate in your field of expertise.<br></span> </div>

<p><h4>Description</h4> <p>Mindrift is looking for skilled bot developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a bot developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p> <h4>Key responsibilities</h4> <ul> <li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li> <li>Design and implement conversational flows, dialogue state, and fallback handling.</li> <li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li> <li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li> <li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li> <li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li> <li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li> </ul> <h4>Requirements and benefits</h4> <h4>Educational qualifications</h4> <ul> <li>At least 3 years of relevant experience in backend, integration, automation, or bot development (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> </ul> <h4>Academic and/or professional experience</h4> <p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p> <h4>Technical skills (essential)</h4> <ul> <li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li> <li>Strong command of Python or Node.js for backend bot logic.</li> <li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li> <li>Experience with relational or NoSQL databases for storing conversation state and user data.</li> <li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li> <li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li> <li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li> </ul> <h4>Additional requirements</h4> <ul> <li>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.</li> <li>Self-directed work ethic with the ability to design and ship complete bots independently.</li> <li>Portfolio or examples of bots you've built (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>Why this freelance opportunity might be a great fit for you?</h4> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Mindrift is looking for skilled bot developers (WhatsApp Business API, Telegram Bot API, Discord API) to join the Tendem project and build conversational bots and messaging-platform integrations within our hybrid AI + human environment. In this role, as an AI pilot – that's how we refer to this position at Mindrift – you'll collaborate with Tendem agents that handle repetitive tasks, while you provide bot engineering expertise, conversational design judgment, and quality control to ensure bots are reliable, useful, and ready for real users. This part-time remote opportunity is ideal for professionals with hands-on experience building messaging bots, working with platform APIs and webhooks, and implementing conversational logic.</p> <h4>What we do</h4> <p>The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of generative AI by tapping into real-world expertise from across the globe.</p> <h4>About the role</h4> <p>This is a freelance role for a Tendem project. As a bot developer, you'll design, build, and refine messaging bots across WhatsApp, Telegram, Discord, and similar platforms — for use cases such as customer service, appointment booking, order taking, content delivery, moderation, and automated notifications.</p> <h4>Key responsibilities</h4> <ul> <li>Build bots for WhatsApp (Business API / Cloud API), Telegram (Bot API), Discord, and similar messaging platforms.</li> <li>Design and implement conversational flows, dialogue state, and fallback handling.</li> <li>Integrate bots with LLMs (OpenAI, Anthropic, or similar) for natural language responses where appropriate.</li> <li>Connect bots to backend services, databases, CRMs, and third-party APIs (booking systems, payment, content sources).</li> <li>Handle webhooks, rate limits, and platform-specific message formats (interactive messages, buttons, media, templates).</li> <li>Evaluate AI-generated bot code and refactor it for correctness, reliability, and graceful error handling.</li> <li>Implement logging, monitoring, and recovery so bots stay healthy in production.</li> </ul> <h4>Requirements and benefits</h4> <h4>Educational qualifications</h4> <ul> <li>At least 3 years of relevant experience in backend, integration, automation, or bot development (required).</li> <li>Bachelor's or master's degree in computer science, engineering, information technology, or related technical fields is a plus.</li> </ul> <h4>Academic and/or professional experience</h4> <p>Candidates should have a strong foundation in bot development, messaging platform integrations, and building reliable conversational workflows. We are looking for specialists who can design and maintain production-ready bots, work confidently with APIs, webhooks, and backend services, and refine AI-assisted output into stable, user-friendly experiences. Strong problem-solving skills, attention to detail, and the ability to work independently are essential.</p> <h4>Technical skills (essential)</h4> <ul> <li>At least 1 year of hands-on experience building bots for major messaging platforms (WhatsApp, Telegram, Discord, Slack, or similar) is required.</li> <li>Strong command of Python or Node.js for backend bot logic.</li> <li>Solid experience with REST APIs, webhooks, OAuth, and async request handling.</li> <li>Experience with relational or NoSQL databases for storing conversation state and user data.</li> <li>Familiarity with LLM APIs (OpenAI, Anthropic) and prompt design for conversational use is a strong plus.</li> <li>Understanding of platform-specific limits, message templates, and approval flows (e.g., WhatsApp template messages).</li> <li>Experience with hosting and deployment (Docker, serverless, VPS, or PaaS).</li> </ul> <h4>Additional requirements</h4> <ul> <li>Strong attention to detail and commitment to bot reliability — no silent failures, no broken flows.</li> <li>Self-directed work ethic with the ability to design and ship complete bots independently.</li> <li>Portfolio or examples of bots you've built (required).</li> <li>English proficiency: Upper-intermediate (B2) or above (required).</li> </ul> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $60 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p> <h4>Why this freelance opportunity might be a great fit for you?</h4> <ul> <li>Work fully remote on your own schedule with just a laptop and stable internet connection.</li> <li>Gain hands-on experience in a unique hybrid environment where human expertise and AI agents collaborate seamlessly — a distinctive skill set in a rapidly growing field.</li> <li>Participate in performance-based bonus programs that reward high-quality work and consistent delivery.</li> </ul></p><p></p>

<ol><li><p>Generate leads and achieve sales targets for Simplex Fire Alarm Systems.</p></li><li><p>Develop relationships with <strong>MEP contractors, consultants, developers and end customers</strong>.</p></li><li><p>Identify projects and new business opportunities across Saudi Arabia.</p></li><li><p>Prepare quotations, proposals, tenders and commercial offers.</p></li><li><p>Conduct client meetings, presentations and negotiations.</p></li><li><p>Manage the complete sales cycle from lead generation to closing.</p></li><li><p>Maintain customer relationships and follow up on projects and opportunities.</p></li><li><p>Coordinate with technical and project teams for successful execution.</p></li></ol><p><strong>Desired Candidate Profile</strong></p><ol><li><p>4–5+ years of relevant <strong>Fire Alarm Sales</strong> experience.</p></li><li><p><strong>Mandatory: Experience selling Simplex Fire Alarm Systems.</strong></p></li><li><p>Experience with <strong>Simplex 4100ES / 4007ES</strong> or similar UL fire detection systems preferred.</p></li><li><p>Strong Saudi market experience and customer network preferred.</p></li><li><p>Experience with contractors, consultants and end users.</p></li><li><p>Good English communication; <strong>Arabic is an advantage</strong>.</p></li><li><p>Willingness to travel within Saudi Arabia.</p></li></ol>

<p>1. JOB DETAILS:</p><p>Job Title: Analyst, ML Engineer</p><p>Reports to: Sr. Manager, IT Digital Platforms &amp; Digital Transformation</p><p>Department: IT Applications</p><p>Function: IT Applications</p><p>Company: Hikma Holding</p><p>2. JOB PURPOSE:</p><p>The ML Engineer is responsible for supporting the development, testing, and deployment of machine learning models and AI-powered pipelines across Hikma Pharmaceuticals. Working as part of the AI team under the Sr. Manager, IT Digital Platforms &amp; Digital Transformation, and under the close guidance of the AI Architect and AI developers team, this role provides hands-on ML engineering support across the solution lifecycle from data preparation and model experimentation through to deployment and monitoring. The ML Engineer is expected to develop their machine learning and data engineering skills rapidly within a structured team environment, contributing to Hikma's enterprise AI transformation while building foundational expertise in regulated pharmaceutical AI delivery.</p><p>3. JOB DIMENSIONS:</p><p>Number of Staff Supervised: Direct Reports Count: 0 (0 vacant)</p><p>Indirect Reports Count: N/A</p><p>Financial Budget (USD): Supports AI initiative delivery under team supervision</p><p>4. KEY ACCOUNTABILITIES:</p><p>ML Model Development &amp; Experimentation</p><ul><li>Support the development, training, and evaluation of machine learning models under the guidance of the AI Architect and senior team members, following approved architecture standards and initiative briefs</li><li>Assist in ML experimentation activities including data exploration, feature engineering, model selection, and performance evaluation using standard frameworks and cloud AI services</li><li>Apply foundational ML techniques across classical machine learning, NLP, and generative AI domains relevant to Hikma's business areas including Supply Chain, Quality, HR, and Commercial</li><li>Support the implementation of LLM-based solutions including RAG pipelines, prompt engineering, and embedding-based retrieval under senior technical guidance</li><li>Maintain experiment tracking logs, model versioning records, and reproducibility documentation using tools such as ML flow or Azure Machine Learning</li><li>Produce clear and accurate model development artefacts including experiment summaries, performance reports, and model documentation</li></ul><p>Data Engineering &amp; Feature Development</p><ul><li>Assist in building and maintaining ML data pipelines covering data ingestion, transformation, validation, and basic feature engineering for model training and inference workflows</li><li>Support data quality checks, anomaly detection, and dataset preparation activities to ensure ML model inputs meet required standards</li><li>Collaborate with the Data &amp; Analytics team to access and understand available data assets, following data governance and privacy guidelines</li><li>Work with structured data sources including relational databases and enterprise system extracts, developing proficiency in handling diverse data types over time</li></ul><p>ML-Ops &amp; Production Support</p><ul><li>Support the implementation and maintenance of ML-Ops pipeline components including model packaging, deployment, and basic performance monitoring under senior team guidance</li><li>Assist in deploying ML models to cloud environments using approved tooling (Azure Machine Learning, ML-flow, Docker, or equivalent)</li><li>Monitor deployed models for observable performance issues and flag anomalies to the AI Architect or senior team members for investigation</li><li>Maintain accurate records in model registries including versioning and change logs across AI initiatives</li><li>Contribute to the documentation and validation support activities for ML models deployed in GxP-regulated contexts, following defined compliance processes</li></ul><p>Quality Assurance &amp; Testing</p><ul><li>Support the development and execution of testing activities for ML solutions, including data, pipeline tests, model performance checks, and basic integration testing</li><li>Actively participate in code reviews and technical walkthroughs, applying feedback to improve code quality and engineering practices</li><li>Document assigned ML components clearly including data preparation steps, model configurations, test results, and known issues</li><li>Identify and escalate technical issues encountered across the ML stack in a timely and structured manner</li></ul><p>5. Behavioural Competencies:</p><p>Initiative &amp; Drive for Results - Very Good</p><p>Change &amp; Innovation - Very Good</p><p>Communication &amp; Influence - Good</p><p>Developing &amp; Empowering others - Good</p><p>Problem Solving &amp; decision Making - Excellent</p><p>Strategic Thinking - Good</p><p>6. Technical Competencies:</p><p>ML Model Development &amp; Experimentation - Good</p><p>Python &amp; ML Frameworks (PyTorch, TensorFlow, scikit-learn, HuggingFace) - Good</p><p>MLOps &amp; Model Lifecycle Tooling - Good</p><p>Data Engineering &amp; Pipeline Support - Good</p><p>Cloud AI/ML Services (Azure ML) - Good</p><p>Generative AI &amp; LLM Development (RAG, LangChain, Semantic Kernel) - Very Good</p><p>Model Explainability &amp; Responsible AI Awareness - Very Good</p><p>Containerization &amp; CI/CD Basics (Docker, Git, Azure DevOps) - Good</p><p>7. COMMUNICATIONS &amp; WORKING RELATIONSHIPS:</p><p>Internal: AI Champions Network, AI Architect, AI Developer, Data &amp; Analytics Team</p><p>External: AI/ML Vendors &amp; Solution Providers, Implementation Partners, Open Source &amp; Developer Communities</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field *(Required)*</li><li>Master's degree in Artificial Intelligence, Machine Learning, Data Science, or Computer Science *(Preferred)*</li><li>Microsoft Azure AI Engineer Associate, AWS Machine Learning Specialty, or Google Professional ML Engineer certification *(Preferred)*</li><li>Relevant ML/AI certifications (e.g., DeepLearning.AI ML Specialization, Databricks ML Associate, fast.ai) *(Preferred)*</li><li>0-1 year of professional experience in software development, data science, machine learning, or a related technical field (fresh graduates are welcome to apply)</li><li>Demonstrated hands-on experience with ML model development through academic projects, internships, capstone projects, hackathons, or personal projects</li><li>Familiarity with cloud AI/ML platforms (Azure, AWS, or GCP) gained through coursework, self-study, or practical experimentation *(Preferred)*</li><li>Any exposure to generative AI, LLM tools, or RAG concepts through academic or personal projects *(Preferred)*</li><li>Pharmaceutical, healthcare, life sciences, or other regulated industry exposure *(Preferred but not expected)*</li><li>Working knowledge of Python and foundational ML/DL libraries including scikit-learn, pandas, NumPy, and at least one deep learning framework</li><li>Practical exposure to training and evaluating ML models including classical machine learning and at least one of: NLP, computer vision, or time-series analysis through academic, personal, or internship projects</li><li>Basic familiarity with generative AI concepts including Large Language Models, prompt engineering, and RAG principles *(Preferred)*</li><li>Awareness of ML-Ops concepts and tools such as ML-flow or Azure Machine Learning for experiment tracking and model management *(Preferred)*</li><li>Basic experience with data preparation, cleaning, transformation, and exploratory data analysis using Python</li><li>Familiarity with version control using Git and basic software development practices including code reviews and testing</li><li>Basic understanding of cloud platforms (Azure, AWS, or GCP) and awareness of cloud-based AI/ML services *(Preferred)*</li><li>Familiarity with containerization concepts (Docker) and CI/CD basics *(Preferred)*</li><li>Awareness of responsible AI principles, data privacy regulations (GDPR, HIPAA), and IT security practices relevant to ML development</li><li>Any familiarity with pharmaceutical business processes or GxP compliance in a technology context is a plus *(Preferred)*</li></ul>

<p><h4>Description</h4> <p>Manual & automation QA engineer</p> <p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p> <h4>Our stack</h4> <p><strong>Test automation:</strong> Playwright / Cypress<br> <strong>Unit & integration:</strong> Jest / Pytest<br> <strong>API testing:</strong> REST & GraphQL<br> <strong>Database:</strong> PostgreSQL<br> <strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br> <strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p> <h4>What you'll do</h4> <ul> <li>Design, write, and maintain manual test plans and test cases for features across the full product</li> <li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li> <li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li> <li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li> <li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li> <li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li> <li>Participate in sprint planning and retrospectives as the quality voice on the team</li> </ul> <h4>What we're looking for</h4> <ul> <li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li> <li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li> <li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li> <li>Strong API testing skills using tools like Postman, REST Assured, or similar</li> <li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li> <li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li> <li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li> </ul> <h4>Bonus points if you…</h4> <ul> <li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li> <li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li> <li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li> <li>Have built custom eval harnesses or synthetic test data generators using LLMs</li> </ul> <h4>AI-first culture</h4> <p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>

<p><h4>Description</h4> <p>Manual & automation QA engineer</p> <p>We're looking for a skilled QA engineer who's equally comfortable crafting detailed test plans by hand and building robust automation frameworks. You'll ensure that every feature we ship meets the highest quality bar — including our growing suite of AI-powered capabilities.</p> <h4>Our stack</h4> <p><strong>Test automation:</strong> Playwright / Cypress<br> <strong>Unit & integration:</strong> Jest / Pytest<br> <strong>API testing:</strong> REST & GraphQL<br> <strong>Database:</strong> PostgreSQL<br> <strong>DevOps:</strong> CI/CD pipelines, GitHub Actions, AWS<br> <strong>AI:</strong> AI agents / LLMs (non-deterministic testing)</p> <h4>What you'll do</h4> <ul> <li>Design, write, and maintain manual test plans and test cases for features across the full product</li> <li>Build and scale automation frameworks for regression, integration, and end-to-end testing</li> <li>Test AI-powered features including LLM outputs, agent behavior, and model responses for accuracy, safety, and consistency</li> <li>Collaborate closely with developers and product managers to shift QA left in the development lifecycle</li> <li>Define and track quality metrics, identify risk areas, and surface issues early before they reach production</li> <li>Develop evaluation strategies for non-deterministic systems — including prompt variation testing and output validation pipelines</li> <li>Participate in sprint planning and retrospectives as the quality voice on the team</li> </ul> <h4>What we're looking for</h4> <ul> <li>2+ years of professional experience in software quality assurance, covering both manual and automation testing</li> <li>Hands-on experience testing AI agents, LLM-powered features, or ML models — understanding their non-deterministic nature is a must</li> <li>Proficiency in at least one modern automation framework (Playwright, Cypress, Selenium, or equivalent)</li> <li>Strong API testing skills using tools like Postman, REST Assured, or similar</li> <li>Experience working in agile environments with CI/CD pipelines and integrated test gates</li> <li>A methodical, curious mindset — you find edge cases others miss, and you document everything clearly</li> <li>Solid communication skills to write clear bug reports, test documentation, and quality summaries</li> </ul> <h4>Bonus points if you…</h4> <ul> <li>Have experience evaluating agentic workflows, multi-step reasoning chains, or RAG pipelines</li> <li>Have worked with LLM evaluation frameworks like RAGAS, LangSmith, or Promptfoo</li> <li>Use AI coding tools like Cursor or Claude in your daily QA workflow — we actively encourage it</li> <li>Have built custom eval harnesses or synthetic test data generators using LLMs</li> </ul> <h4>AI-first culture</h4> <p>We don't just build AI — we test it rigorously. Our QA engineers use Cursor and Claude to move faster, write better test cases, and automate the repetitive work. If you're already approaching quality assurance with AI tools in hand, you'll feel right at home.</p></p><p></p>

<p><h4>Description</h4> <p>We're looking for Google Apigee Cloud expert with over 5 years of hands-on experience in designing, developing, and managing API solutions on Google Cloud Platform (GCP). The ideal candidate will be responsible for architecting secure, scalable, and high-performing API ecosystems using Apigee, while collaborating with cross-functional teams to enable seamless digital transformation.</p> <h4>Key responsibilities:</h4> <ul> <li><strong>API design & development:</strong> Architect, design, and implement APIs using Apigee Edge/Apigee X, ensuring scalability and maintainability.</li> <li><strong>API gateway management:</strong> Configure, deploy, and manage API proxies, policies, and traffic flows.</li> <li><strong>Security & compliance:</strong> Implement OAuth, JWT, API keys, and other authentication/authorization mechanisms to secure APIs.</li> <li><strong>Performance optimization:</strong> Monitor, analyze, and optimize API performance, latency, and throughput.</li> <li><strong>Integration:</strong> Connect APIs with backend services, microservices, and third-party applications.</li> <li><strong>Monitoring & analytics:</strong> Utilize Apigee analytics and logging tools to track API usage, detect anomalies, and improve reliability.</li> <li><strong>Collaboration:</strong> Work closely with developers, architects, and DevOps teams to align API strategies with business goals.</li> <li><strong>Documentation & best practices:</strong> Maintain clear API documentation, enforce governance, and promote API-first culture.</li> </ul> <h4>Requirements</h4> <ul> <li><strong>Experience:</strong> 5+ years of professional experience in API management, with at least 3 years focused on Apigee.</li> <li><strong>Technical expertise:</strong> Strong knowledge of REST, SOAP, GraphQL, JSON, XML, and microservices architecture.</li> <li><strong>Cloud knowledge:</strong> Proficiency in Google Cloud Platform (GCP) services such as Cloud Functions, Pub/Sub, BigQuery, and Kubernetes (GKE).</li> <li><strong>Security:</strong> Deep understanding of API security standards, identity management, and compliance frameworks.</li> <li><strong>DevOps & CI/CD:</strong> Hands-on experience with Jenkins, Git, Docker, and CI/CD pipelines for API deployment.</li> <li><strong>Problem-solving:</strong> Strong analytical and troubleshooting skills with ability to resolve complex API issues.</li> <li><strong>Communication:</strong> Excellent verbal and written communication skills to collaborate across teams and stakeholders.</li> </ul></p><p></p>

<p><b>Responsibilities</b></p><p>Lead the overall design strategy and vision across digital products, ensuring exceptional user experiences across mobile, web, partner platforms, and internal tools.</p><p>Design and optimize end-to-end customer journeys, including onboarding, payments, financing, property services, and customer lifecycle experiences.</p><p>Collaborate closely with Product, Engineering, Marketing, Commercial, Strategy, and Operations teams to translate business objectives and customer insights into intuitive, user-centered solutions.</p><p>Build, maintain, and continuously enhance a scalable design system, ensuring consistency across all digital products.</p><p>Drive UX/UI excellence by conducting design reviews, maintaining high design standards, and ensuring quality throughout the product development lifecycle.</p><p>Lead, mentor, and develop the design team, fostering a culture of creativity, collaboration, and continuous improvement.</p><p>Utilize customer research, analytics, and experimentation to improve user engagement, conversion, and overall customer satisfaction.</p><p>Ensure design solutions align with business objectives while delivering measurable commercial impact.</p><p>Champion best practices in product design, interaction design, accessibility, and usability across the organization.</p><p><strong>Desired Candidate Profile</strong></p><p>8+ years of experience in Product Design, UX/UI Design, or Digital Design, including significant experience in a leadership role.</p><p>Proven experience leading design for consumer-facing digital products within fintech, financial services, digital banking, payments, PropTech, marketplaces, or related technology-driven industries.</p><p>Strong portfolio demonstrating successful delivery of complex digital products and customer journeys with measurable business impact.</p><p>Expertise in UX, UI, interaction design, design systems, and user-centered design methodologies.</p><p>Experience building and scaling enterprise design systems across multiple digital products.</p><p>Strong understanding of customer journey mapping, conversion optimization, and growth-focused product design.</p><p>Proven ability to lead, mentor, and develop high-performing design teams.</p><p>Excellent stakeholder management skills with experience collaborating cross-functionally with Product, Engineering, Marketing, and Commercial teams.</p><p>Experience working within high-growth technology companies or startups is highly preferred.</p><p>Experience in embedded finance, BNPL, digital payments, digital wallets, or financial technology products is highly desirable.</p><p>Proficiency with industry-standard design tools such as Figma and other collaborative design platforms.</p>

<p>Our Mission is to Simplify Life. We are looking to Simplify and automate complex decision-making for customer centric industries, like Utilities, Financial Services, Logistics, and commerce, that drive the world's economies and you have the chance to join the revolution. We are trying to solve huge challenges in today's enterprise that are directly impacting the employee and customer experience. As an Application Engineer you will have the opportunity to work in a fast-paced environment surrounded by peers working on the same platform(s). You will be working directly with clients developing solutions for their business as well as engaging in a continued learning path with Senior and Team Lead Engineers. The mentors and training resources provided at Avertra are intended to enable our Application Engineers to become Mendix Advanced certified and elevate their professional journey. Main Job Responsibilities: Develop and implement new software programs with Mendix. Maintain and improve the performance of existing software. Clearly and regularly communicate with management and technical support colleagues. Design and update software data models. Develop user-friendly and modern style UI. Test and maintain software products to ensure strong functionality and optimization. Recommend improvements to existing software programs as necessary. Pursue continued education and training in Mendix and other low code systems. Mentor junior application engineers. Perform code reviews for junior application engineers.</p><p><strong>Desired Candidate Profile</strong></p><p>Ability to understand business requirements and translate them into development tasks. Adaptability to different project teams and applications. Ability to work independently and manage multiple task assignments. Ability to work within scheduled project timelines. Eagerness to learn and consume knowledge. Ability to work collaboratively in a creative Agile environment. Ability to communicate clearly in oral and written English. Strong troubleshooting, problem solving, issue resolution and communication skills. Ability to follow documented best practices. Experience: At least 2 years of experience in the same field and Mendix Intermediate certification. Knowledge, Skills and Abilities: Must have experience with Mendix. Must have In-depth knowledge of web technologies, such as HTML and CSS. Must have working experience with building APIs and Services using REST, SOAP, etc. Must have working experience with Scrum/Agile development methodologies. Preferences: Javascript experience. .NET experience. React Native experience. Camunda or BPMN experience. Appian experience. CSS3 experience. Java experience. Sparks EA experience. Education: Bacheloru2019s Degree in Computer Science, Software Engineering, or Information Technology.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Head of Design will lead the design direction across our client's digital products and customer journeys. This role sits at the intersection of product design, customer experience, growth, and brand expression. The right person will create experiences that are simple, trustworthy, commercially effective, and scalable. This is a hands-on leadership role for someone who can think strategically, raise the quality bar, and stay close to execution, working closely with Product, Engineering, Marketing, Strategy, Commercial, and Operations to shape product experiences, customer journeys, and growth surfaces across the business.</p><p>What you'll do:</p><ul><li>Own company's design strategy and shape the end-to-end experience across mobile, web, partner channels, and internal tools, optimizing clarity, trust, usability, and conversion.</li><li>Set the strategic direction for critical journeys across onboarding, payments, financing, property services, and lifecycle touchpoints, building trust in high-consideration financial moments.</li><li>Partner with Product, Engineering, Marketing, Strategy, Commercial, and Operations to turn business goals, customer insight, and experimentation into effective experiences and growth journeys.</li><li>Build and evolve the design system, including components, patterns, and standards that help the business scale with consistency and speed.</li><li>Raise the quality bar through design reviews and QA, while leading, mentoring, and developing the design team and establishing high-standard collaborative rituals.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>What we're looking for:</p><ul><li>Senior product design leadership experience on consumer-facing digital products, in one or more of the following domains: fintech, consumer finance, payments, BNPL, embedded finance, digital banking, wallets, proptech, or marketplaces.</li><li>A portfolio of shipped products, complex journeys, and measurable business impact, especially across high-consideration flows such as onboarding, activation, checkout, or credit decisioning</li><li>Product thinking and a broad craft range across UX, UI, interaction, and growth design, with the ability to connect design decisions directly to business outcomes.</li><li>A track record of building and scaling design systems, reusable components, and standards across multiple product surfaces.</li><li>Experience leading, mentoring, and growing designers, while establishing a high-quality bar for the team.</li><li>Strongly preferred: Experience at a high-growth regional or global consumer platform, such as Tabby, Ziina, Wio, Careem, Tamara, or similar.</li><li>Experience in the UAE, GCC, or wider MENA market.</li><li>Background in embedded finance, BNPL, credit, payment flexibility, wallets, or affordability-based journeys.</li><li>Experience designing across B2C, B2B2C, and partner-led distribution models.</li></ul><p>What success looks like</p><ul><li>The company's product experience is clearer, more consistent, and more scalable across surfaces.</li><li>Customer journeys are easier to understand, more trustworthy, and more conversion-oriented.</li><li>The design system measurably improves speed, consistency, and quality across product delivery.</li><li>Design is a stronger partner to Product, Engineering, Marketing, Strategy, and Commercial teams.</li><li>Design quality improves release over release, with better UX thinking, cleaner execution, and clearer alignment to business outcomes.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Teach agents to operate new web portals: navigation, search, fi ltering, pagination, and downloadingdocuments.</p><p>Handle the messy reality of real websites:</p><p>logins and session handling</p><p>steps that need a person (for example multi-factor login), handed over cleanly to a human</p><p>broken search, inconsistent categories, and unexpected pop-ups</p><p>Monitor agent runs, diagnose failures from traces and replays, and fi x them.</p><p>Detect when a portal changes and work with the AI Engineer – Agent Learning &amp; Evaluation soagents adapt without breaking.</p><p>Build tests against recorded sessions so changes can be checked before they reach production.</p><p>Work with the business users who supervise the agents to understand what "done" looks like andturn their feedback into improvements.</p> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p>Must have</p><p>6+ years of software engineering, including 1+ year building LLM agents or browser automation atscale.</p><p>Strong experience with</p><p>browser automation</p><p>: Playwright, Puppeteer, or Selenium. A goodunderstanding of the DOM, the Chrome DevTools Protocol, network traffi c, and authentication</p><p>fl</p><p>ows.</p><p>Strong</p><p>Python</p><p>and/or</p><p>TypeScript</p><p>.</p><p>Excellent debugging skills: you enjoy working out why something failed on a site you don't control.</p><p>Working knowledge of the core AI topics below.</p><p>Nice to have</p><p>Vision-language models for UI agents (e.g. Qwen-VL, UI-TARS) and grounding actions to screenelements.</p><p>Agent-oriented browser frameworks (e.g. Stagehand, browser-use).</p><p>Experience making large-scale web automation reliable (retries, rate limits, change detection).</p><p>Experience with Arabic-language websites.</p><p>Core AI knowledge</p><p>We expect every AI Engineer on our team to be able to discuss these topics with confi dence. For this rolewe expect depth in agentic AI and computer use, and working knowledge of the rest.</p><p>How LLMs work:</p><p>the Transformer architecture, tokenisation, decoding and sampling, the trainingpipeline (pre-training, SFT, RLHF / DPO, RL with verifi able rewards), and common failure modessuch as hallucination and prompt injection.</p><p>Agentic AI:</p><p>agent patterns (ReAct, plan-and-execute, refl ection), tool design, context engineering,and safety controls (permissions, sandboxing, human-in-the-loop).</p><p>Computer use:</p><p>how agents perceive and act on user interfaces: screenshots and vision-languagemodels, DOM and accessibility trees, grounding actions to UI elements, and checking the resultafter each action.</p><p>Protocols:</p><p>Model Context Protocol (MCP) and Agent2Agent (A2A).</p><p>Agent harnesses:</p><p>what sits around the model (the loop, tools, permissions, sandboxes, contextmanagement), and hands-on experience with at least one agent framework or SDK.</p><p>Behavioural vs procedural approaches:</p><p>when to let the model decide the steps and when todefi ne them in code, and how to combine the two.</p><p>Benchmarks:</p><p>what computer-use and web benchmarks (OSWorld, WebArena, Online-Mind2Web,ScreenSpot) measure, and why real-world reliability differs from benchmark scores.</p></div>

<p><h4>Description</h4> <p>Own and execute the cards product roadmap by leading the end-to-end development of card products. This includes:</p> <ul> <li>Designing comprehensive business requirements documents (BRDs) and collaborating on UI/UX to effectively communicate card product concepts to stakeholders across technology, operations, and business teams.</li> <li>Identifying and documenting card-specific technical and business requirements covering systems such as the card management system (CMS), mobile app, core banking/wallet, and payment schemes and translating them into clear deliverables for technical teams.</li> <li>Managing card product performance analysis, issue troubleshooting (including decline rates, authorization failures, and dispute trends), and executing continuous improvement initiatives.</li> <li>Supporting the QA team in preparing and executing test cases that cover the full card flow.</li> <li>Leading cross-functional collaboration across customer care, sales, compliance, and technology to ensure successful card product launches and ongoing lifecycle management.</li> <li>Managing the product backlog, sprint planning, and release coordination to ensure timely and quality delivery of card product initiatives.</li> </ul> <h4>Requirements</h4> <ul> <li>Conduct market research on card trends such as contactless, tokenization, virtual cards, installment plans, and rewards to identify growth opportunities and inform penetration strategies.</li> <li>Analyze competitor card offerings across features, fees, credit limits, and UX to assess the company's competitive position.</li> <li>Gather customer feedback from care, sales, and user research to identify friction points across the card journey and translate them into prioritized functional requirements.</li> <li>Define technical requirements for prepaid and credit card initiatives, ensuring correct integration with card management system, core banking/wallet, mobile app, credit engine, and payment schemes.</li> <li>Develop concepts for new card features and communicate requirements to all concerned teams.</li> <li>Lead UAT for card releases, covering the full transaction lifecycle: authorization, clearing, settlement, chargebacks, balance and credit limit enforcement, card management, and card expiry.</li> <li>Ensure all card initiatives comply with scheme rules, consumer regulations, and central bank requirements, in coordination with all relevant stakeholders.</li> <li>Provide sales and customer care with training and direction on card features, issuance, credit limit management, billing, dispute handling, and card controls.</li> <li>Monitor cards KPIs and deliver periodic performance reports with gap analysis and recommendations.</li> <li>Perform other duties as assigned by the direct manager.</li> </ul> <h4>Qualifications and Education Requirements</h4> <ul> <li>Bachelor’s degree in business administration, marketing, information technology, business information systems, management information systems, engineering, or a related field.</li> <li>4–6 years of product management experience, with at least 2 years directly managing prepaid and/or credit card products within a fintech, bank, or mobile money environment.</li> <li>PMI-ACP, CSM, or PSM (one required).</li> <li>PSPO or CSPO (preferred).</li> </ul> <h4>Benefits</h4> <ul> <li>Stakeholder management and cross-functional collaboration.</li> <li>Data analysis and KPI-driven decision making.</li> <li>Written and verbal communication across technical and business audiences.</li> <li>Attention to detail in compliance-sensitive environments.</li> <li>Ownership mentality with a bias toward action.</li> </ul></p><p></p>

<p><h4>About Maqsam:</h4> <p>Maqsam is the leading Arabic AI-powered contact center solution in the MENA region designed to revolutionize customer experience. Leveraging groundbreaking advancements in AI technology, Maqsam has spearheaded accurate Arabic call transcription, advanced analytics, and insights, along with unique AI modeling utilizing its in-house designed LLM.</p> <h4>Your opportunity:</h4> <p>We are seeking a backend software engineer to join our innovative team at Maqsam. This role is ideal for those eager to develop their technical skills in a dynamic SaaS environment. You will participate in various stages of software development, from design to deployment, making significant contributions to our cutting-edge contact center solutions.</p> <p>In this role, you'll work closely with tech leads, senior engineers, and operations managers, gaining crucial industry experience and contributing to projects that enhance user experiences and broaden our product’s capabilities.</p> <h4>Your top responsibilities:</h4> <ul> <li>Translate business requirements into well-defined technical solutions and implement them to achieve the desired functionality.</li> <li>Debug and troubleshoot complex software issues in a high-availability environment.</li> <li>Optimize system performance through rigorous testing and code refinement.</li> <li>Collaborate with cross-functional teams to integrate new technologies and frameworks.</li> <li>Conduct code reviews to ensure code quality and implementation of best practices.</li> <li>Document development processes, code changes, and other critical information accurately.</li> <li>Participate in the design and architecture decisions of our internal systems and databases.</li> <li>Support junior software engineers and participate in ramping up new joiners.</li> </ul> <h4>What we expect from you:</h4> <ul> <li>Experience with backend or full-stack web development is a must, focusing on scalable and robust system design.</li> <li>Proven ability in writing high-quality, readable, and scalable code.</li> <li>Strong skills in debugging complex systems, with the ability to analyze and resolve challenging technical issues.</li> <li>Experience with relational databases and their integration into systems.</li> <li>Solid foundation in computer science, with strong competencies in data structures, algorithms, and software design optimized for scalable systems.</li> <li>Ability to work in a fast-paced, team-oriented environment and to contribute to the team with innovative solutions.</li> <li>Proven ability to learn new technologies and explore new concepts and frameworks quickly and effectively.</li> </ul> <h4>Additional information:</h4> <ul> <li>3-5 years of experience in backend or full-stack web development.</li> <li>Excellent problem-solving and analytical skills.</li> <li>Strong communication skills, capable of effectively articulating technical challenges and solutions to both technical and non-technical team members.</li> <li>A commitment to continuous professional development and eagerness to learn new technologies.</li> <li>A degree in computer science, engineering, or a related field is preferred.</li> <li>Experience in mobile development is a plus.</li> <li>Experience working on VoIP-related projects is a plus.</li> <li>Experience with Ruby on Rails or any similar web framework, JavaScript, Vue.js or a comparable frontend framework, and PostgreSQL or other relational databases is a strong plus.</li> </ul> <h4>What we provide:</h4> <ul> <li>Join a world-class team at Maqsam, where your growth is our priority. Here’s what you can expect:</li> <li>A collaborative and friendly environment.</li> <li>Personal and professional growth: opportunities to learn and become a world-class professional.</li> <li>Fair compensation: we value your contribution.</li> <li>Transparency: a culture that thrives on open communication.</li> <li>Benefits: first-class health insurance, and more.</li> <li>Part of something big: work with seasoned professionals and be proud of being part of the exciting world of SaaS business.</li> </ul></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>

<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>In recent years, organizations have been disrupted and transformed by digital technology, cloud adoption, and the increasing need for secure, scalable, and compliant platform foundations. As a Technology Consulting professional, you will collaborate with multidisciplinary teams to help clients define, build, and operate cloud platforms that enable reliable application delivery, enterprise modernization, and measurable business value.</p><p>As organizations look to leverage the advantages that cloud technology offers, EY is committed to helping you develop the right skills needed in today's environment. Working on programs that cross borders and sectors, the experiences you gain here will be truly distinctive. Wherever you start and however long you stay, the exceptional EY experience lasts a lifetime.</p><p><strong>Job Summary</strong></p><p>We are seeking Cloud Architect/Engineer professionals for our Amman office to support cloud transformation engagements across advisory, architecture, engineering, and implementation activities.</p><p>Candidates may be considered for either architecture-focused or engineering-focused responsibilities depending on their experience, technical depth, stakeholder exposure, and interview performance.</p><p>This role is open to candidates with a minimum of 3+ years of relevant cloud experience. Final grade will be decided upon screening and interview completion, within the Senior Consultant to Manager level range.</p><p><strong>Key Responsibilities</strong></p><p><strong>Cloud Architecture &amp; Advisory</strong></p><ul><li>Support or lead architectural design sessions and define target-state cloud platform architectures using Azure or AWS Cloud Adoption Framework and Well-Architected principles.</li><li>Define landing zone standards covering identity and access management, enterprise networking, governance guardrails, policy, tagging, logging, resilience, and observability baselines.</li><li>Design account structures and onboarding standards across Azure Management Groups and Subscriptions, and AWS Organizations, OUs, and Accounts, under a unified governance model.</li><li>Publish enterprise connectivity blueprints including hub-and-spoke, Transit or Virtual WAN, private connectivity, DNS resolution, and firewall patterns.</li><li>Govern platform decisions through architecture review gates, decision logs, documented trade-offs, exception governance, and compensating controls.</li></ul><p><strong>Cloud Engineering &amp; Implementation</strong></p><ul><li>Implement Azure landing zones and account onboarding activities using standard checklists and Infrastructure as Code modules, including Terraform.</li><li>Deliver network foundations including virtual networks, Virtual WAN, DNS resolution, routing, ExpressRoute, VPN, Private Link, and firewall configurations.</li><li>Deploy, configure, and baseline Kubernetes clusters including AKS/EKS, container registry standards, Docker, Helm, cluster add-ons, and operational readiness checks.</li><li>Apply governance guardrails including Azure Policy, AWS SCPs, resource tagging standards, diagnostic settings, and logging configurations.</li><li>Implement identity and access patterns including RBAC, least privilege, service principals, and managed identities as defined by security baselines.</li></ul><p><strong>Delivery, Documentation &amp; Stakeholder Support</strong></p><ul><li>Troubleshoot platform issues, resolve delivery blockers through root-cause analysis, and propose implementation-ready fixes aligned to baseline standards.</li><li>Produce evidence packs and operational handover artefacts including runbooks, monitoring dashboards, escalation paths, and support readiness inputs.</li><li>Contribute to reusable intellectual property including blueprints, IaC modules, templates, checklists, and decision guides.</li><li>Work effectively with architects, security teams, developers, operations teams, and client stakeholders to deliver practical cloud solutions.</li></ul><p><strong>Key Profile Requirements / Qualifications</strong></p><ul><li>Minimum 3+ years of experience in cloud architecture, cloud engineering, cloud infrastructure, platform delivery, or enterprise technology transformation roles.</li><li>Hands-on cloud experience across Azure and/or AWS, including cloud foundations, landing zones, governance, networking, identity, security, and observability.</li><li>Infrastructure as Code experience, preferably with Terraform; Bicep/ARM or CloudFormation experience is an advantage.</li><li>Solid fundamentals in enterprise networking, including VNets/VPCs, subnetting, DNS, load balancing, firewall rules, and private connectivity patterns.</li><li>Experience with Kubernetes, containers, Docker, Helm, AKS/EKS, monitoring, logging, or operational readiness is an advantage.</li><li>Ability to produce clear, structured documentation and consulting-grade deliverables for client delivery and operational handover.</li><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.</li><li>Good written and spoken English; Arabic is an advantage.</li></ul><p><strong>Certifications</strong></p><ul><li>Microsoft Certified: Azure Administrator Associate (AZ-104) [Preferred]</li><li>Microsoft Certified: Azure Solutions Architect Expert (AZ-305) [Preferred]</li><li>HashiCorp Certified: Terraform Associate [Preferred]</li><li>CNCF Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) [Plus]</li><li>AWS Certified Solutions Architect [Plus]</li></ul><p><strong>What We Look For</strong></p><p>We are looking for cloud professionals who combine hands-on engineering capability with architecture thinking, consulting discipline, structured documentation, and the ability to work effectively in multi-client delivery environments.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum 3+ years of experience in cloud architecture, cloud engineering, cloud infrastructure, platform delivery, or enterprise technology transformation roles.</li><li>Hands-on cloud experience across Azure and/or AWS, including cloud foundations, landing zones, governance, networking, identity, security, and observability.</li><li>Infrastructure as Code experience, preferably with Terraform; Bicep/ARM or CloudFormation experience is an advantage.</li><li>Solid fundamentals in enterprise networking, including VNets/VPCs, subnetting, DNS, load balancing, firewall rules, and private connectivity patterns.</li><li>Experience with Kubernetes, containers, Docker, Helm, AKS/EKS, monitoring, logging, or operational readiness is an advantage.</li><li>Ability to produce clear, structured documentation and consulting-grade deliverables for client delivery and operational handover.</li><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.</li><li>Good written and spoken English; Arabic is an advantage.</li></ul><p><strong>Certifications</strong></p><ul><li>Microsoft Certified: Azure Administrator Associate (AZ-104) [Preferred]</li><li>Microsoft Certified: Azure Solutions Architect Expert (AZ-305) [Preferred]</li><li>HashiCorp Certified: Terraform Associate [Preferred]</li><li>CNCF Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) [Plus]</li><li>AWS Certified Solutions Architect [Plus]</li></ul><p>We are looking for cloud professionals who combine hands-on engineering capability with architecture thinking, consulting discipline, structured documentation, and the ability to work effectively in multi-client delivery environments.</p>

<p>Successfully design, develop, implement, and maintain enterprise Business Intelligence and AI solutions that improve data accessibility, reporting, analytics, and decision-making across UNRWA. Deliver high-quality data warehouse models, ETL/ELT solutions, Power BI dashboards, AI-enabled analytics, and technical documentation while ensuring data quality, adherence to enterprise architecture standards, and knowledge transfer to relevant technical teams.</p><p>Work Location HQA and open for remote consultancy in the UNRWA fields of operation Expected duration 12 months</p><p>Duties and Responsibilities</p><p>The Consultant will be responsible for providing senior technical expertise in Business Intelligence, Data Analytics, Data Warehousing, and Artificial Intelligence solutions. The Consultant will work closely with the Enterprise Architecture &amp; Business Intelligence (EBI) team to deliver enterprise reporting and analytics capabilities. Specific outputs/tasks include, but are not limited to:</p><ul><li>Analyze business requirements and translate them into technical BI and AI solutions.</li><li>Design and develop dimensional data warehouse models and analytical/semantic models.</li><li>Design and develop OLAP cubes and support database objects.</li><li>Develop, maintain, and optimize ETL/ELT processes and data integration solutions.</li><li>Design, develop, deploy, and maintain Power BI reports, dashboards, KPI scorecards, and AI-powered dashboards.</li><li>Support implementation and adoption of Microsoft Copilot and other AI capabilities within BI solutions.</li><li>Ensure data quality, consistency, completeness, and accuracy through profiling, validation, cleansing, and monitoring activities.</li><li>Provide technical advice and recommendations related to BI, Power BI, analytics, AI, and data architecture.</li><li>Coordinate with the Enterprise Architecture &amp; Business Intelligence team on technical design, architecture, deployment, and production support.</li><li>Provide technical guidance and knowledge transfer to BI developers and relevant technical staff.</li><li>Prepare and maintain technical documentation including solution designs, specifications, operational procedures, and user manuals.</li><li>Perform other related duties as required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree in Computer Science, Information Technology, Data Science, Artificial Intelligence, Software Engineering, or another related discipline.</li><li>Minimum seven (6) years of relevant professional experience.</li><li>Professional experience in Business Intelligence, Data Analytics, Data Engineering, Data Warehousing, Software Development, or related fields, including experience with Power BI, SQL Server, ETL/ELT development, dimensional modelling, AI-powered analytics, and Microsoft BI technologies.</li><li>Extensive experience with Microsoft Power BI.</li><li>Extensive experience with SQL Server, SQL development, and database scripting.</li><li>Strong experience in Data Warehouse design and dimensional modelling.</li><li>Strong experience in ETL/ELT development and data integration.</li><li>Strong experience writing DAX and SQL.</li><li>Experience with Microsoft SSIS and SSAS.</li><li>Experience implementing AI-powered analytics, Microsoft Copilot, or Generative AI solutions.</li><li>Experience translating business requirements into analytical solutions.</li><li>Experience preparing technical documentation.</li><li>Experience with Microsoft Azure and/or Microsoft Fabric is desirable</li><li>English and Arabic are the working languages of UNRWA. For this assignment, fluency in both Arabic and English are required.</li></ul>

<p>We are seeking an experienced Technical Architect to lead the design and implementation of technology solutions that support business objectives and align with enterprise architecture standards. The ideal candidate will combine strong technical expertise with strategic thinking to deliver scalable, secure, and high-performing solutions while providing technical leadership across projects. Key Responsibilities Design end-to-end technical architectures for enterprise systems, applications, and integrations. Develop architecture blueprints, technical specifications, and solution design documentation. Evaluate, recommend, and select appropriate technologies, frameworks, platforms, and tools based on business and technical requirements. Provide technical leadership and guidance to development teams throughout the software development lifecycle. Ensure solutions are scalable, secure, maintainable, and aligned with industry best practices and organizational standards. Conduct architecture and code reviews to ensure compliance with technical standards and quality requirements. Collaborate with business analysts, project managers, product owners, and key stakeholders to translate business requirements into effective technical solutions. Identify technical risks, dependencies, and constraints, and develop mitigation strategies. Design and oversee system integration approaches to ensure seamless interoperability between applications and platforms. Stay up to date with emerging technologies, industry trends, and architectural best practices to drive innovation. Mentor and support junior architects, developers, and technical team members by promoting knowledge sharing and continuous improvement.</p><p><strong>Desired Candidate Profile</strong></p><p>Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related field. Proven experience in solution or technical architecture, software design, and enterprise application development. Strong understanding of cloud platforms, system integration, APIs, microservices, and enterprise architecture principles. Experience with modern development frameworks, databases, and DevOps practices. Excellent analytical, problem-solving, and communication skills. Ability to collaborate effectively with cross-functional teams and influence technical decisions. Relevant architecture or cloud certifications are considered an advantage.</p>