SC Cleared AI Engineer

Project overview

SC Cleared AI Engineer - Contract - London

Opportunity for an SC Cleared AI Engineer to join our client's team on a remote basis with occasional travel to client site.You'll work within a product squad to design, build and deliver cutting-edge GenAI and Agentic AI product. This is a hands-on role where you will shape AI workflows, optimise performance and collaborate closely with stakeholders.

Key Responsibilities

Essential Experience

If you have this blend of deep AI engineering and secure delivery experience, we'd be keen to introduce you to our client.

Please click here to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement.

To find out more about Computer Futures please visit www.computerfutures.com

Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

• Build GenAI and Agentic AI applications using Python and LangGraph.
• Develop multi-step workflows involving state, routing, tool use and human review.
• Design end-to-end RAG pipelines covering ingestion, chunking, embeddings, indexing and retrieval.
• Build and integrate APIs and backend services.
• Evaluate LLM quality, grounding and hallucinations, implementing appropriate guardrails.
• Handle failures, retries and workflow recovery.
• Implement monitoring, logging and tracing across AI applications.
• Deploy secure and scalable AI solutions on Azure.
• Active SC clearance suitable for an MOD project.
• Strong production-grade Python software engineering.
• Hands-on GenAI, LLM and Agentic AI development.
• Strong LangGraph and RAG experience.
• Prompt engineering and structured LLM outputs.
• LLM/RAG evaluation, testing and hallucination mitigation.
• API and backend service integration.
• Automated testing, error handling and observability.
• Hands-on experience with Azure OpenAI, Azure AI Search and Azure AI Foundry.
• Experience with Cosmos DB, Redis, Azure Monitor, Application Insights, Managed Identity and Key Vault.

Project details

• Start: flexible
• Remote: onsite
• Location: England, United Kingdom, GB
• Rate: 75-75 EUR/h