Lead Generative AI Implementation – Full Stack | Azure
Description
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:
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Lead the team, implement and develop Generative AI applications, AI assistants, copilots, and agentic AI solutions.
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Build and optimize RAG pipelines, AI agents, embeddings, semantic search, and LLM integrations.
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Develop full-stack AI applications across frontend, backend, APIs, databases, and AI orchestration layers.
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Integrate AI solutions with enterprise systems, APIs, and databases.
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Deploy and manage AI applications using Microsoft Azure, Docker, CI/CD, and modern cloud practices.
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Build scalable, secure, and production-ready AI solutions with appropriate monitoring and evaluation.
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Rapidly prototype AI solutions and convert successful concepts into production applications.
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Work with business and technical stakeholders to identify and implement practical AI use cases.
Required Skills:
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Strong hands-on experience with Implementation of Generative AI / LLM applications.
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Strong Python programming skills.
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JavaScript / TypeScript and experience with React, Next.js, Node.js, FastAPI, Flask, or equivalent technologies.
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Experience with RAG, embeddings, vector databases, AI agents, prompt/context engineering and LLM APIs.
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Experience with Microsoft Azure and cloud-based application deployment.
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REST APIs, Git, Docker and CI/CD.
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Familiarity with AI development tools such as Cursor, GitHub Copilot, Claude Code, Codex, Windsurf, or similar.
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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:
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Bachelor's degree in Computer Science, AI, Data Science, Software Engineering, Computer Engineering, or a related field.
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10+ years of relevant experience in AI Engineering, Generative AI, Software Engineering, ML, Data Science, or Applied AI.
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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
- Agentic AI
- AI
- API
- Azure
- CI/CD
- Claude Code
- Cloud
- Data Science
- Docker
- Embeddings
- FastAPI
- Flask
- Generative AI
- Git
- GitHub
- Github Copilot
- JavaScript
- Kubernetes
- LangChain
- LangGraph
- LlamaIndex
- LLM
- Machine Learning
- MLflow
- Next.js
- Node.js
- Python
- React
- REST
- Semantic Kernel
- Semantic Search
- TypeScript
- Vector Databases