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GenAI Engineer (LLM Applications on Azure)

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Abu Dhabi, United Arab Emirates

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Relocation friendly

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Data Platform Engineering

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BCM Industry

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23/09/2026

Req. VR-125168

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Project description

Expert-level engineer designing and building LLM applications and agentic workflows on Azure: RAG pipelines, multi-agent orchestration, MCP tool integration, evaluation, guardrails and cost control. Sets the GenAI engineering standards for the account and is accountable for solution quality against agreed evaluation thresholds.

Responsibilities
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Build LLM applications and agent workflows with LangGraph / LangChain / Semantic Kernel on Azure OpenAI (AWS Bedrock / GCP Vertex a plus).

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Design RAG pipelines: document ingestion, chunking strategies, embeddings, vector search (Azure AI Search, FAISS, Pinecone), hybrid retrieval and re-ranking.

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Integrate enterprise tools and context via Model Context Protocol (MCP) servers and function / tool calling; design multi-agent systems.

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Engineer, version and test prompts; run offline and online evaluations (accuracy, grounding, hallucination rate) and fine-tuning where justified.

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Implement responsible-AI guardrails (content filters, PII redaction, policy checks) and LLM observability (tracing, token accounting, latency).

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Optimise token and inference cost (model routing, caching, batching); report against cost budgets.

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Document prompts, evaluation results and model choices; mentor engineers adopting GenAI patterns.

Skills

Must have

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Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.

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10+ years in software or data engineering, of which 3+ in machine learning / NLP and 2+ delivering production LLM applications (RAG, agents) on Azure OpenAI or equivalent.

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Expert Python; LangGraph, LangChain and/or Semantic Kernel; asynchronous, event-driven application design.

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Azure OpenAI, Azure AI Search, Azure AI Foundry / ML, Functions, Container Apps / AKS, Key Vault, Application Insights.

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RAG design: chunking, embeddings, vector databases (Azure AI Search, FAISS, Pinecone), hybrid search, re-ranking.

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MCP server / client development, function calling, multi-agent orchestration and state management.

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LLM evaluation (RAGAS, promptfoo, Azure AI evaluation or equivalent), fine-tuning (LoRA / PEFT) and model selection.

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Guardrails (Azure AI Content Safety, NeMo Guardrails or similar), LLM observability (LangSmith, OpenTelemetry), FinOps for inference.

Nice to have

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AWS Bedrock or GCP Vertex AI.

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Semantic caching, model distillation, small-language-model deployment.

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Azure AI Engineer Associate (AI-102) or equivalent.

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Experience in financial services, sovereign wealth / investment holding or other regulated enterprise environments.

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Experience working with distributed teams (onsite UAE with nearshore India / offshore Poland squads).

Other
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Languages

English: C1 Advanced

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Seniority

Senior

Abu Dhabi, United Arab Emirates

Req. VR-125168

Data Platform Engineering

BCM Industry

23/09/2026

Req. VR-125168

Apply for GenAI Engineer (LLM Applications on Azure) in Abu Dhabi

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