Senior AI Engineer

Building and improving RAG pipelines, including retrieval strategies, chunking, reranking and grounding. Developing GenAI applications and agentic workflows using tools such as LangChain, LangGraph or similar frameworks. Working on model adaptation, fine-tuning, instruction tuning and optimisation. Designing evaluation frameworks to measure retrieval quality, hallucinations, answer accuracy and overall model performance. Experimenting with different models and approaches to improve reliability, latency and cost. Taking AI solutions from development into production, working closely with engineering and platform teams.

Strong experience with model evaluation, experimentation and fine-tuning. Solid hands-on experience building and deploying RAG and GenAI solutions. Good understanding of LLMs, embeddings, vector databases and retrieval techniques. Experience with Azure AI Foundry would be advantageous. Someone who enjoys solving complex technical problems and can explain the thinking behind their approach.

We’re particularly interested in engineers who have genuinely owned AI solutions, understand why certain approaches work (and why others don’t), and can demonstrate measurable improvements in model performance.