Senior GenAI Engineer: Azure LLM & RAG Architect

Tanqeeb

Abu Dhabi

On-site

AED 480,000 - 720,000

Full time

4 days ago
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Job summary

Tanqeeb in the United Arab Emirates seeks an expert-level engineer to design and build LLM applications and agent workflows on Azure OpenAI. You will shape RAG pipelines, multi-agent orchestration, MCP tool integration, evaluation, guardrails and cost control.

Responsibilities include engineering, versioning and testing prompts; running offline and online evaluations and mentoring other engineers adopting GenAI patterns. Strong Azure OpenAI experience is preferred.

Qualifications

  • Bachelor's degree or equivalent practical experience in CS/Engineering/IS or related field.
  • 10+ years in software or data engineering, with 3+ years in ML/NLP and 2+ delivering production LLM applications on Azure OpenAI or equivalent.
  • Expert Python programming and experience with LangGraph, LangChain or Semantic Kernel.
  • Hands-on experience with Azure AI services (OpenAI, Search, Foundry/ML), Functions, AKS, Key Vault, App Insights.
  • Knowledge of guardrails, observability (LangSmith/OpenTelemetry) and FinOps for inference.

Responsibilities

  • Build LLM applications and agent workflows on Azure OpenAI.
  • Design RAG pipelines including document ingestion, embeddings, vector search and re-ranking.
  • Integrate MCP servers and multi-agent orchestration; implement function calling and tool use.
  • Evaluate prompts and models; run offline/online tests and fine-tuning where justified.
  • Implement guardrails and observability; optimize token and inference costs.
  • Document prompts, results and model choices; mentor other engineers.

Skills

Python
LLM applications
NLP
Distributed systems
Mentoring

Education

Bachelor's degree or equivalent

Tools

LangGraph
LangChain
Semantic Kernel
Azure OpenAI
Azure AI Search
FAISS
Pinecone
MCP
Azure Functions
AKS

Job description

Tanqeeb in the United Arab Emirates seeks an expert-level engineer to design and build LLM applications and agent workflows on Azure OpenAI. You will shape RAG pipelines, multi-agent orchestration, MCP tool integration, evaluation, guardrails and cost control.

Responsibilities include engineering, versioning and testing prompts; running offline and online evaluations and mentoring other engineers adopting GenAI patterns. Strong Azure OpenAI experience is preferred.

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