Lead Generative AI Engineer – Agentic | Azure

HireOn

Pakistan

Hybrid

PKR 45,317,000 - 75,529,000

Full time

3 days ago
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Job summary

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.

Qualifications

  • 10 to 15+ years of relevant experience in AI Engineering or related fields.
  • Strong hands-on experience with Generative AI / LLM applications development.
  • Proven ability to build scalable AI solutions in enterprise settings.

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 monitoring and evaluation.
  • Rapidly prototype AI solutions and convert concepts into production apps.
  • Collaborate with business and technical stakeholders to identify practical AI use cases.

Skills

Generative AI / LLM apps
Python
Frontend JS stack
LLM APIs
Azure
Docker / CI/CD
REST APIs
Prompt engineering

Education

Bachelor's degree in CS/AI

Tools

Azure Foundry
LangChain
LLamaIndex
Kubernetes
GitHub Copilot
Codex
Windsurf

Job description

Position: Lead Generative AI Engineer - Agentic | Azure AI Foundry

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.

Key Responsibilities:
  • 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.

Required Skills:
  • 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.

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 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.

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