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# SC Cleared AI Engineer

- **Company:** Computer Futures
- **Location:** Cardiff, UK
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Automation of Tests, Microsoft Azure, Python (Programming Language), Redis, OpenAI, Enterprise Search, Data Logging, Cloud Monitoring, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Backend, Agentic-AI, SC Clearance, Cosmos DB, Automation Anywhere, Key Vault
- **Published:** October 8, 2026
- **Apply:** https://www.totaljobs.com/job/ai-engineer/computer-futures-job108092991

## About the Role

* 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.

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

## Description

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., * 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.