Do you want to shape how LLMs are deployed at scale in a real business?
Have you built RAG or agentic systems that moved beyond experimentation?
Are you motivated by measurable customer and commercial impact, not demos?
A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products.
This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation.
Key responsibilities
• Lead development of LLM and AI proof-of-concepts
• Design and implement RAG pipelines and agentic workflows
• Define evaluation frameworks for LLM quality and response accuracy
• Partner with product and engineering on chat flows and continuous improvement
• Contribute to AI platform architecture and best practices
• Mentor junior ML / AI engineers (no formal line management)
Key details
• Salary: £80,000 base + 10% bonus
• Pension: 5% matched
• Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed)
• Location: Central London
• Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse
• Visa: This role cannot sponsor
Interested? Please apply below.
