GenAI Engineer (LLM Applications on Azure) | Luxoft
Full time @AlfaCareers Official posted 3 hours ago in Artificial Intelligence (AI) Shortlist Email JobJob Detail
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Job ID 368623
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Career Level Officer
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Experience 8 Years +
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Gender Any
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Industry Information Technology (IT)
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Qualifications Degree Bachelor
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) and hybrid retrieval; integrate enterprise tools and context via Model Context Protocol (MCP) servers and function / tool calling; engineer, version and test prompts; run offline and online evaluations (accuracy, grounding, hallucination, latency) using RAGAS, promptfoo or Azure AI evaluation; implement responsible-AI guardrails (content filters, PII redaction, policy checks) and LLM observability (LangSmith, OpenTelemetry); optimise token and inference cost (model routing, caching, batching) and report against cost budgets; and 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 experience; 10+ years in software or data engineering, of which 3+ in machine learning / NLP and 2+ delivering production GenAI / LLM systems; Expert Python; LangGraph, LangChain and/or Semantic Kernel; asynchronous, event-driven application design; Azure OpenAI, Azure AI Search, Azure AI Foundry / ML, Functions, Container Apps / AKS, Key Vault, API Management; RAG design: chunking, embeddings, vector databases (Azure AI Search, FAISS, Pinecone), hybrid search and 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 prompt engineering; and guardrails (Azure AI Content Safety, NeMo Guardrails or similar), LLM observability (LangSmith, OpenTelemetry) and cost optimisation. Nice to have: AWS Bedrock or GCP Vertex AI; semantic caching, model distillation, small-language-model deployment; Azure AI Engineer Associate (AI-102) or equivalent; experience in financial services, sovereign wealth / investment holding or other regulated enterprises; and experience working with distributed teams (onsite UAE with nearshore India / offshore Poland squads).
Other: Languages: English: C1 Advanced. Seniority: Senior. Relocation friendly.
Location: Abu Dhabi, United Arab Emirates. Req. VR-125168. This is a full-time role with Luxoft. Page date 30/09/2026, published 2026-10-01.
Source: Luxoft careers. Apply here: https://career.luxoft.com/jobs/genai-engineer-llm-applications-on-azure-27785
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