Artificial Intelligence Engineer

Luxoft; Abu Dhabi; On-site; AED 350,000 - 700,000; Full time

Job summary

Luxoft is seeking an expert-level engineer to design and build LLM applications and agent workflows on Azure OpenAI, setting GenAI engineering standards for the account. The role focuses on RAG pipelines, multi-agent orchestration, MCP tool integration, evaluation, guardrails and cost control, with accountability for solution quality against defined evaluation thresholds.

Strong Python, LangGraph/LangChain/Semantic Kernel expertise is required, with mentoring responsibilities and collaboration

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering/IS.
• 10+ years in software or data engineering with 3+ years in ML/NLP.
• 2+ years delivering production LLM applications (RAG, agents) on Azure OpenAI or equivalent.
• Expert Python with LangGraph, LangChain and/or Semantic Kernel.
• Experience with prompt engineering, evaluation, and guardrails.

Responsibilities

• Build LLM applications and agent workflows on Azure OpenAI.
• Design RAG pipelines with document ingestion, embeddings, vector search, and hybrid retrieval.
• Integrate MCP servers and multi-agent orchestration.
• Engineer prompts and conduct offline/online evaluations and fine-tuning as needed.
• Implement guardrails and LLM observability and optimize costs.
• Document results and mentor engineers adopting GenAI patterns.

Skills

Python

LangGraph

LangChain

Semantic Kernel

Asynchronous programming

Distributed systems

LLM evaluation

Prompt engineering

Model cost optimization

NLP

Education

Bachelor's degree in CS/Engineering/IS

Equivalent practical experience

Tools

Azure OpenAI

FAISS

Pinecone

LangSmith

OpenTelemetry

MCP servers

NeMo Guardrails

LoRA/PEFT

Job 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

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

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

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

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

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

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

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

Skills

Must have

• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field, or equivalent practical experience.
• 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.
• Expert Python; LangGraph, LangChain and/or Semantic Kernel; asynchronous, event-driven application design.
• RAG design: chunking, embeddings, vector databases (Azure AI Search, FAISS, Pinecone), hybrid search, re-ranking.
• MCP server / client development, function calling, multi-agent orchestration and state management.
• LLM evaluation (RAGAS, promptfoo, Azure AI evaluation or equivalent), fine-tuning (LoRA / PEFT) and model selection.
• Guardrails (Azure AI Content Safety, NeMo Guardrails or similar), LLM observability (LangSmith, OpenTelemetry), FinOps for inference.

Nice to have

• AWS Bedrock or GCP Vertex AI.
• Azure AI Engineer Associate (AI-102) or equivalent.
• Experience in financial services, sovereign wealth / investment holding or other regulated enterprise environments.
• Experience working with distributed teams (onsite UAE with nearshore India / offshore Poland squads).