Lead Generative AI Engineer – Agentic | Azure

Position: Lead Generative AI Engineer - Agentic | Azure AI FoundryLocation: Abu Dhabi, UAEWork Model: Mostly remote, but can be hybrid as and when neededExperience: 10 to 15+ yearsEmployment Type: Full-timeWe are hiring on behalf of client, a UAE Government Entity for a hands‑on Generative AI Team Lead to 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. Key ResponsibilitiesLead the team, implement and develop Generative 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. Required SkillsStrong hands‑on experience with Generative AI / LLM applications development. Strong Python programming skills. 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. Nice To HaveExperience 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.

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. Skills: agents,rag,embedding models,gemini,openai,llm frameworks,prompt engineering,crewai,vector databases,semantic kernel,agentic ai,autogpt,langchain,azure,generative ai,llama2,ai application development #J-18808-Ljbffr. 688999.