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HireOn, on behalf of a UAE Government Entity in Abu Dhabi, seeks a hands-on Lead Generative AI Engineer to lead production-ready AI apps. You will architect RAG pipelines, AI agents, and embeddings, and deploy across Microsoft Azure with full-stack capabilities.
The role requires 10–15+ years of AI/engineering experience, deep LLM expertise, and strong Python/JS skills. You will collaborate with stakeholders to define practical use cases and deliver scalable AI solutions.
Location: Abu Dhabi, UAE
Work Model: Mostly remote, but can be hybrid as and when needed
Experience: 10 to 15+ years
Employment Type: Full-time
We are hiring on behalf of client, a UAE Government Entityfor a hands on Generative AI Team Leadto join its AI team in Abu Dhabi.
The ideal candidate will combine strong implementation of Generative AI/LLM expertise with full-stack and Microsoft Azure experience and will be responsible for building and deploying production-ready AI applications.
Lead the team, implement and developGenerative AI applications, AI assistants, copilots, and agentic AI solutions.
Build and optimize RAG pipelines, AI agents, embeddings, semantic search, and LLM integrations.
Develop full-stack AI applications across frontend, backend, APIs, databases, and AI orchestration layers.
Integrate AI solutions with enterprise systems, APIs, and databases.
Deploy and manage AI applications using Microsoft Azure, Docker, CI/CD, and modern cloud practices.
Build scalable, secure, and production-ready AI solutions with appropriate monitoring and evaluation.
Rapidly prototype AI solutions and convert successful concepts into production applications.
Work with business and technical stakeholders to identify and implement practical AI use cases.
Strong hands-on experience withGenerative AI / LLM applications development.
Strong Python programming skills.
JavaScript / TypeScript and experience with React, Next.js, Node.js, FastAPI, Flask, or equivalent technologies.
Experience with RAG, embeddings, vector databases, AI agents, prompt/context engineering and LLM APIs.
Experience with Microsoft Azure and cloud-based application deployment.
REST APIs, Git, Docker and CI/CD.
Familiarity with AI development tools such as Cursor, GitHub Copilot, Claude Code, Codex, Windsurf, or similar.
Strong software engineering and problem-solving skills.
Experience with Azure AI Foundry, Azure AI Search, Azure Machine Learning, LangChain, LangGraph, LlamaIndex, Semantic Kernel, MLflow, Kubernetes, or LLM serving technologies will be an advantage.
Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, Computer Engineering, or a related field.
10 to 15+ years of relevant experience in AI Engineering, Generative AI, Software Engineering, ML, Data Science, or Applied AI.
A strong portfolio of AI applications/projects is highly desirable.
If you are ahands-on GenAI Team Lead who can lead, build, code, integrate, and deploy AI applications, we'd like to hear from you.