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Lead Generative AI Implementation – Full Stack | Azure

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Lead Generative AI Implementation – Full Stack | Azure

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Lead Generative AI Implementation – Full Stack | Azure

Skills

NextDockerReactNodeTypescriptFlaskPythonData ScienceMachine LearningAIGitHubKubernetesFastAPIJavascriptAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Abu Dhabi - United Arab Emirates

Work mode:

Onsite

Published on:

8 September 2026

What they need


Position: Lead Generative AI Implementation – Full Stack | Azure AI Foundry Location: Abu Dhabi, UAE

Work Model: 100% Onsite

Experience: 10+ years

Employment Type: Full-time

We are hiring on behalf of a UAE Government Department for a hands-on Generative AI Implementation Lead to join its AI team in Abu Dhabi.

The ideal candidate will combine strong implementation of Generative AI/LLM expertise with full-stack software engineering and Microsoft Azure experience and will be responsible for building and deploying production-ready AI applications.

Key Responsibilities

  • Lead 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 Skills

  • Strong hands-on experience with Implementation of Generative AI / LLM applications.
  • 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.

Nice To Have 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.

Qualifications

  • Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, Computer Engineering, or a related field.
  • 10+ 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.

Important – Location: 📍 This is a 100% onsite role based in Abu Dhabi. Candidates must either be currently based in Abu Dhabi or be willing to relocate to Abu Dhabi from another emirate.

Please note: No relocation allowance, relocation package, or family relocation assistance will be provided. If you are a hands-on GenAI Implementation Engineer who can lead, build, code, integrate, and deploy AI applications , we'd like to hear from you.

Skills: rag,semantic kernel,vector databases,autogpt,agents,agentic ai,prompt engineering,azure,langchain,llama2,generative ai,crewai,embedding models,ai application development,llm frameworks,gemini,openai

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