🚀 AI Engineer – Enterprise Knowledge Base (EKB)
Manchester, Leeds, Bristol, Birmingham or Edinburgh – Hybrid (2-days per week onsite)
£800 per day – Inside IR35
6-month contract initially – strong potential for extension
Start: ASAP
I’m currently looking for an experienced AI Engineer to join a major greenfield Enterprise Knowledge Base (EKB) programme within a leading UK banking organisation.
This is a genuinely exciting opportunity to help build an enterprise-scale AI platform from the ground up, connecting data and knowledge from platforms including Confluence, Jira, ServiceNow, Teams and other enterprise sources.
What you’ll be working on:
- Building enterprise Generative AI / LLM solutions
- Developing RAG pipelines using embeddings and vector databases
- Building and integrating AI Agents / Agentic AI
- Prompt Engineering and Context Engineering, with a strong focus on optimisation and cost
- Developing AI-powered knowledge discovery and retrieval capabilities
- Building ingestion and data pipelines for enterprise knowledge
- Working primarily with Python, SQL, Git and GCP
- Integrating enterprise platforms through REST APIs
- Contributing to architecture, technical spikes and target-state design
- Testing and evaluating AI solutions for performance, reliability and safety
🧠 Key experience:
- Strong Python development
- Generative AI / LLMs / NLP
- Prompt Engineering – essential
- RAG, embeddings and vector databases
- AI Agents / Agentic AI
- REST APIs, SQL & Git
- GCP or another major cloud platform
- Experience taking AI solutions from prototype through to production
⭐ Desirable:
LangChain, LangGraph, MCP, Knowledge Graphs, Semantic Search, Responsible AI, AI Evals, re-ranking and caching.
LangGraph isn’t essential — candidates with strong LangChain/RAG/Agentic AI experience and the right engineering mindset will be considered.
Why consider it?
This is a greenfield, strategically important AI programme with significant backing. You’ll have the opportunity to influence the architecture and technical direction while helping build a foundational knowledge layer that can be consumed across the wider organisation.
The expectation is that the programme could continue for 2–3+ years, subject to funding, providing strong potential for longevity.
If you’re an AI Engineer who enjoys working with modern GenAI technologies and building enterprise solutions from the ground up, I’d be keen to speak with you.
Apply now or get in touch for more information.
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