Your AI career in the UAE starts here

AI Engineer / Forward Deployed EngineerThe RoleWe are looking for an exceptional AI Engineer / Forward Deployed Engineer to work at the intersection of AI engineering, product development, and government transformation.This is not a traditional software engineering role.You will work directly with government entities to understand how critical services and operations work today, identify where AI can fundamentally change them, and then design, build, and deploy the agentic systems that power the new workflow.The role is approximately equal parts AI Engineer and Forward Deployed / Product Engineer. You need to be comfortable building AI agents and production systems while also sitting with domain experts, understanding complex processes, challenging assumptions, and translating real-world problems into working AI products.The goal isn't simply to automate existing workflows. It is to rewire them for an AI-first world.What You'll DoBuild Agentic AI SystemsDesign, build, and deploy AI agents and multi-agent systems that solve complex, real-world problems.Engineer agentic workflows combining LLMs, tools, APIs, enterprise data and existing systems.Build systems incorporating RAG, tool/function calling, structured outputs, memory, reasoning and orchestration.Develop evaluation frameworks, guardrails and observability to ensure AI systems are reliable and production-ready.Move rapidly from prototype to production, continuously improving systems based on real-world usage.Rewire Government WorkflowsEmbed directly with government entities and domain experts to understand how services and operational processes work today.Map existing workflows, decision points, bottlenecks, hand-offs and dependencies.Identify where AI enables an entirely different way of operating—not simply incremental automation.Re-engineer workflows around AI agents, human judgment and automation.Turn manual, fragmented processes into intelligent, adaptive and increasingly autonomous systems.Understand the underlying domain deeply enough to challenge existing assumptions and redesign how work gets done.Operate as a Product EngineerTranslate ambiguous stakeholder problems into clear product and technical requirements.Work directly with users rather than relying solely on predefined specifications.Prototype quickly, put products in front of users and iterate based on feedback.Make pragmatic product decisions balancing user experience, technical feasibility, security and impact.Own solutions end-to-end—from discovering the problem through to deployment, adoption and measurable outcomes.What We're Looking ForStrong software engineering fundamentals, ideally with significant experience in Python and modern backend/application development.Hands-on experience building applications using LLMs and Generative AI.Experience building AI agents, agentic workflows, RAG systems or LLM-powered applications.Familiarity with modern AI engineering frameworks and patterns such as LangGraph, LangChain, LlamaIndex, MCP, tool calling and structured generation.Experience integrating AI systems with APIs, databases and enterprise systems.Ability to build production-quality software rather than only notebooks, demos or proofs of concept.Strong product intuition and an ability to turn loosely defined problems into working solutions.Excellent communication skills and confidence working directly with senior stakeholders and domain experts.Comfortable operating in ambiguous environments where the problem may initially be more defined than the solution.What Makes You ExceptionalYou don't see AI as another feature to bolt onto existing software.You think about how organizations, workflows and products should operate when intelligence becomes a native part of the system.You can move between conversations with government leaders and domain experts, whiteboarding a completely new operating model, and then sitting down with engineers to build the agents, integrations and infrastructure required to make it real.You are equally comfortable asking: "How does this process work today?" and "Why should it work this way at all?"The MissionGovernments were largely designed around a world where people had to manually retrieve information, interpret documents, coordinate across departments and execute processes.AI changes that assumption.We want to build systems where AI agents can understand, reason, coordinate and execute—with humans providing oversight and judgment where it matters.This role is about more than deploying AI. It's about rewiring government for an AI-first world.Abu Dhabi based On-site (no remote/hybrid)

AI Strategy and Vision Develop a comprehensive AI and data science strategy that aligns with the company's objectives and long-term vision. Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Data Analysis and Modeling Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer visionEnsure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluationEvaluate and select appropriate tools, technologies and frameworks for data analysis and modelingEstablish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholdersCreate repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data productsInnovation and Research Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organizationRegularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior managementUse data-driven insights to propose improvements and optimizations to existing processesData PrivacyEnsure compliance with data privacy regulations and ethical guidelines throughout all data science activitiesImplement data protection measures and maintain confidentiality of sensitive informationIdentify potential risks and challenges associated with AI projects and data science initiatives RequirementsBachelor's or Master's Degree in Computer Sciences / Data Science/ AIStrong background in machine learning, statistical analysis, and data visualization

𝗔𝗯𝘂 𝗗𝗵𝗮𝗯𝗶 (𝗨𝗔𝗘) · 𝗙𝗼𝘂𝗻𝗱𝗶𝗻𝗴 𝗧𝗲𝗮𝗺, 𝗥&𝗗 · 𝗘𝗠, 𝗟𝟱 · 𝗠𝗝𝗗𝟬𝟯.𝟭.𝟬Hands-on Research Engineering Manager to establish the R&D team that builds an 𝗔𝗜 𝗮𝗴𝗲𝗻𝘁 𝗵𝗮𝗿𝗻𝗲𝘀𝘀 and evaluation regime for 𝗰𝗼𝗻𝘁𝗿𝗼𝗹𝗹𝗶𝗻𝗴 𝘄𝗲𝗯 𝗯𝗿𝗼𝘄𝘀𝗲𝗿𝘀 with open-weight LLMs. Greenfield.THE TECHNICAL CHALLENGEWe build agents on open-weight LLMs that operate web applications through the browser. The engineering work is the harness around the model: the abstraction that lets a pipeline or another agent drive a browser agent from the terminal, and the evaluation regime across levels of abstraction, from single actions ("find the element matching this description") to whole tasks, run against simulated applications before a live one. Agents maintain the evaluation suite; humans define its schema. Progress is measured against benchmarked results. You lead the team that builds this with the ability to write code.KEY RESPONSIBILITIES• Set the technical direction of the harness and the interfaces between its levels of abstraction• Establish the evaluation regime and the fortnightly score, and hold the team to measured results• Run the R&D team on a two-week rhythm: planning, review with working software, retrospective, written post-mortems for failed experiments and incidents• Coach, level and hire the engineers; interface with product management on the backlog and with the platform team on what the harness exposesDESIRED QUALIFICATIONS• Managed both a research-cadence team and a sprint-cadence team, and can articulate the interface between them• Built an agent harness or an evaluation harness for computer-use systems, agents or reinforcement learning, with an evaluation culture recognised outside the team, and can say which abstraction was right and which was wrong• Has taken apart the harnesses of coding agents (OpenHands, SWE-agent, Aider, DeepSeek Harness or comparable) and can explain how they work in plain terms• Has fine-tuned an LLM, from data preparation to evaluation on a held-out setEXPECTED QUALIFICATIONS• T-shaped: deep in one domain, with working breadth in a neighbouring one• Structures a large, incompletely specified problem and drives it to a working result independently• Managed a team building on LLMs or machine-learning models in production, with evaluation pipelines as a management requirement and a clear account of how quality was gated• Turns research or prototype code into reference implementations others reuse, using AI coding tools daily and verifying their output——HOW WE WORK• Product engineering: we own what we build and run it in production• Small teams, two-week cycles, working software at every review• AI coding tools are part of the standard workflowWHAT WE OFFER• Founding-team scope with a direct line to the Product CTO• A supported track to the UAE Golden Visa (ten-year residency) for AI and technology talent, and relocation support including the UAE AI Specialist visa• MacBook Pro M5 Max with 64 GB RAM or more, gear, Nvidia B200s and a serious budget for AI tokens, credits and tooling• Up to six weeks per year working remotely from anywherePROCESS• Introductory call with our recruiter• Technical conversation with the Product CTO• Practical session; the format is agreed with you• In exercises, AI tools are allowed and expected (no LeetCode)WHO WE ARENew product organisation backed by a semi-government in Abu Dhabi. International, ex-FAANG team. Completely greenfield, with a modern tech stack.——REQUIREMENTS TO BE CONSIDERED• Clear written and spoken English; has reported technical progress to non-technical executives on a fixed cadence• 6+ years in engineering, of which 2+ leading a team of engineers where work was accepted on measured results• Still coding, able to review TypeScript and Python; own code operated in production at a product company or a startup• Bachelor's degree in any field, or self-taught with a track record of open-source contributionsRELATED TECHNOLOGIES AND CONCEPTS• Agent harnesses and frameworks: OpenHands, SWE-agent, Aider, DeepSeek Harness, Hermes Agent, LangGraph, smolagents• Programmatic prompt and pipeline optimisation: DSPy, TextGrad, Ax• Browser automation and computer use: Playwright, Chrome DevTools Protocol, Stagehand, Browser Use, Steel Browser• Evaluation and observability: evaluation harnesses, LLM-as-judge, trajectory evaluation, Inspect, Langfuse, OpenTelemetry; benchmarks such as Online-Mind2Web, WebArena, OSWorld• Models and serving: open-weight LLMs, vLLM, SGLang• State and orchestration: state machines, event sourcing, XState, Trigger.dev, Temporal, Kubernetes, TypeScript, Python

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United States, United Kingdom, Belgium, Portugal OR UAEAbout youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!

About DataCampDataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage.About the roleResearch has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now.We're building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you.About youAt DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You're a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply!ResponsibilitiesBuild and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors.Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability.Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components.Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions.Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor's intelligence.Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior.Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning.QualificationsTechnical1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows.Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short.Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD.Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems.Product & PedagogyStrong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions.Ability to reason holistically across AI behavior, content structure, platform features, and user experience.Familiarity with learning science or a desire to develop expertise.Character & CollaborationDrawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions.Preference for elegance and simplicity in system design.Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams.Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding.Competitive compensation: We offer a competitive salary with attractive benefits.Flexibility: Benefit from flexible working hours because the future is flexible! Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth.Global retreats: Participate in international company retreats, fostering a global team spirit.Equipment: Yearly refreshment of your IT Equipment budget for your home working setup.Amazing team: Collaborate with a truly exceptional team—seriously, we're awesome!