Details:
- Salary: £600 - Day
- Job Type: Contract
- Job Status: Full-Time
- Salary Per: Day
- Location: London
- Date: 2 days ago
Description:
Job title: AI Engineer - Genai & Agentic AI
Rate: £600 per day inside ir35
Location: Remote
Contract: 6 months
Active SC security clearance is required for this role
Build production-grade AI that goes beyond the prompt.
I'm looking for a hands-on AI Engineer to design, build and deliver next-generation Generative AI and Agentic AI products for a major public sector programme. This is an opportunity to work at the cutting edge of AI engineering, developing intelligent applications that combine LLMs, RAG and autonomous agent workflows with robust Python engineering and Microsoft Azure technologies.
You'll be working within a product squad, turning complex requirements into secure, scalable and production-ready AI solutions, not just prototypes or proofs of concept.
Responsibilities:
Agentic AI: Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls.
GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management.
RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings, vector search, reranking and evidence grounding.
AI Quality & Assurance: Implement evaluation frameworks, automated testing, guardrails and techniques to mitigate hallucinations.
Azure AI Engineering: Build and deploy solutions using Azure OpenAI, Azure AI Search, Azure AI Foundry and associated cloud services.
Production Engineering: Design reliable applications with robust error handling, retries, recovery, observability, security and performance optimisation.
Required Expereince:
Strong, hands-on Python software engineering experience.
Proven experience delivering production-grade GenAI and LLM applications.
Practical experience designing and implementing Agentic AI workflows using LangGraph.
Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search.
Experience with LLM evaluation, testing, grounding, guardrails and hallucination mitigation.
Hands-on Azure AI experience, ideally including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault.
A solid software engineering mindset, with experience building APIs, automated tests and maintainable backend services.
If you are interested in this role or wish to apply, please feel free to submit your CV