A fast-growing AI technology company in Abu Dhabi, UAE, is hiring a passionate and hands-on Artificial Intelligence Engineer to design, build, and deploy cutting-edge AI-powered solutions using large language models (LLMs) including GPT and Claude — integrating intelligent features into real-world business products, working with Azure AI Foundry, designing prompt workflows and AI agents, and collaborating with product, design, and engineering teams to ship production-ready AI applications at scale.
About the Role — Real-World AI Product Engineering
Focus: Practical, production-oriented AI engineering — building and shipping real AI-powered products, not research or model training
Core Technology: Large Language Models (LLMs) including GPT and Claude, Azure AI Foundry, Python, APIs, LangChain, LlamaIndex
Scope: Full cycle from AI prototype through to production deployment — design, integrate, evaluate, and continuously improve
Collaboration: Cross-functional team environment working closely with product managers, designers, and software engineers in Abu Dhabi
Growth: Join a growing AI team at the forefront of generative AI adoption across the UAE and broader MENA technology market
Why Join as an AI Engineer in Abu Dhabi, UAE?
Generative AI Hub: Abu Dhabi is rapidly becoming one of the world’s leading centres for AI investment, innovation, and talent — home to G42 and global AI partnerships
Cutting-Edge Stack: Work hands-on with the most in-demand AI tools — GPT, Claude, Azure AI, LangChain, RAG, and vector databases daily
High-Demand Skills: LLM engineering and AI integration are among the highest-paying, fastest-growing skill sets in the global technology job market
Career Acceleration: Build a world-class AI engineering portfolio at a company actively shipping intelligent products to real business users across the UAE
Position Overview
This Artificial Intelligence Engineer role in Abu Dhabi is a highly practical, product-focused position centred on designing and deploying AI-driven applications from prototype to full production using large language models. You will integrate GPT, Claude, and similar LLMs into business solutions via APIs, design prompts, workflows, and autonomous AI agents to maximise output quality, work within Azure AI Foundry and modern AI development platforms, continuously evaluate emerging AI tools and technologies, and collaborate daily with product, design, and engineering teams to translate business challenges into scalable, intelligent software solutions that make a genuine real-world impact across the UAE.
Why This Role Matters: As Artificial Intelligence Engineer in Abu Dhabi, you build LLM-powered applications that directly transform how businesses operate across the UAE and MENA, design intelligent AI agents and workflows using the world’s most advanced language models including GPT and Claude, ship production-grade generative AI features on Azure AI Foundry in a fast-moving, innovation-first environment, collaborate with a passionate cross-functional team at the cutting edge of applied AI product development, and position yourself at the very centre of the UAE’s rapidly growing AI and technology ecosystem — one of the most exciting AI markets globally in 2026.
Key Responsibilities
AI Application Development & Deployment
- Develop and deploy AI-powered applications end-to-end — from initial prototype and proof of concept through to fully production-ready, scalable deployment serving real business users
- Integrate large language models including GPT and Claude into business solutions via robust API connections, ensuring reliable, efficient, and cost-effective LLM usage in live products
- Work with Azure AI Foundry and modern AI development platforms to build, test, evaluate, and continuously improve AI-driven features across the company’s product portfolio
- Continuously evaluate and adopt emerging AI tools, frameworks, and technologies to keep the team’s engineering capabilities at the leading edge of the rapidly evolving generative AI landscape
Prompt Engineering & AI Agent Design
- Design, test, and optimise sophisticated prompts, structured workflows, and multi-step AI pipelines that consistently improve the quality, reliability, and usefulness of LLM outputs
- Build and deploy autonomous AI agents capable of reasoning, planning, and executing multi-step tasks across business processes — reducing manual effort and improving operational efficiency
- Apply advanced prompt engineering techniques including chain-of-thought reasoning, few-shot learning, and system instruction design to maximise the performance of GPT and Claude integrations
- Evaluate and iterate on AI agent behaviour systematically using robust metrics and user feedback loops to ensure consistent, trustworthy output quality in production environments
LLM Integration & API Engineering
- Build reliable, well-structured Python code and API integration layers that connect LLM capabilities seamlessly to existing business systems, data sources, and product interfaces
- Design and implement RAG (Retrieval-Augmented Generation) pipelines that ground LLM responses in accurate, up-to-date company or domain-specific knowledge through vector database integration
- Leverage frameworks including LangChain, LlamaIndex, and similar tools to accelerate AI feature development and maintain high engineering quality standards across all integrations
- Explore and integrate open-source LLM options via Hugging Face, Ollama, and similar platforms where appropriate to provide flexible, cost-efficient AI solution architectures
Cross-Functional Collaboration & Engineering Excellence
- Collaborate closely with product managers, UX designers, and software engineers to translate complex business requirements into clearly scoped, elegantly implemented AI-powered product features
- Contribute to code reviews, technical documentation, and AI engineering best practices that maintain high quality and reproducibility across all team AI development work
- Use Git and modern version control practices to manage AI codebases professionally, enabling seamless team collaboration and reliable deployment across development and production environments
- Operate comfortably in a fast-paced, rapidly evolving AI environment — adapting quickly to new technologies, shifting priorities, and emerging opportunities in the UAE AI market
Qualifications & Requirements
Educational Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a closely related STEM field is required for this Abu Dhabi AI Engineer role
- Master’s degree in AI, Machine Learning, or Computer Science is considered a meaningful professional advantage for more senior consideration within the team
Experience Requirements
- Hands-on practical experience working with APIs and LLM integrations — directly building and deploying GPT, Claude, or similar large language model solutions in real product environments
- Strong Python and software engineering skills — writing clean, efficient, well-documented code that meets production quality standards in a professional team development environment
- Demonstrated ability to work effectively in a fast-paced, evolving technology environment where priorities shift and new AI capabilities emerge continuously
Essential Skills
- Strong Python programming skills with experience in relevant libraries and frameworks for AI application development, data handling, and API integration
- Practical experience with GPT, Claude, or similar large language models — including prompt design, API usage, output evaluation, and iterative improvement in production settings
- Familiarity with Git and modern software development practices including version control, code review, and collaborative engineering workflows
Bonus Skills
- Experience with LangChain, LlamaIndex, or similar orchestration frameworks for building multi-step LLM workflows and AI agent systems is a strong technical advantage
- Knowledge of RAG (Retrieval-Augmented Generation) architectures, vector databases such as Pinecone or Weaviate, or Azure AI tools and services is highly valued
- Exposure to open-source LLMs via Hugging Face, Ollama, or similar platforms — bringing flexible, cost-efficient AI architecture options to complement commercial LLM integrations
About the Company
This is a growing, innovation-driven technology company based in Abu Dhabi, UAE — operating at the exciting intersection of artificial intelligence and real-world business solutions. With a passionate, cross-functional team building AI-powered products for the UAE market and beyond, the company is looking for engineers who are genuinely excited about generative AI and want to make a direct impact by shipping intelligent applications that transform the way businesses operate across the MENA region and globally.
Career Excellence: Join a forward-thinking Abu Dhabi AI team where your engineering work directly shapes intelligent products — at the heart of the UAE’s most exciting and fastest-growing technology sector in 2026.
Who Should Apply?
- LLM Application Developers: With hands-on GPT, Claude, or similar LLM API integration experience looking to build and ship production AI products in Abu Dhabi, UAE
- Python AI Engineers: With strong software engineering skills and practical experience deploying AI-powered applications in fast-paced, product-driven technology environments
- Prompt Engineers & AI Agent Builders: With experience designing autonomous AI agents, multi-step workflows, and advanced prompt architectures using cutting-edge LLM frameworks
- LangChain / RAG Specialists: With vector database knowledge, retrieval-augmented generation experience, and Azure AI Foundry familiarity seeking a UAE AI engineering role
- CS Graduates with AI Focus: Holding a Bachelor’s or Master’s in Computer Science or AI with demonstrated hands-on LLM and Python development experience seeking a high-growth UAE tech role
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