We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production‑grade AI systems focused on accuracy, scalability, and real‑world impact.
This position sits within a growing AI function and will focus heavily on Retrieval‑Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation.
Key Responsibilities
- Design and develop scalable RAG pipelines and generative AI workflows
- Build solutions using LangChain, LangGraph, and LlamaIndex
- Implement retrieval strategies including reranking, chunking, and retrieval fusion
- Develop agentic workflows with a focus on robustness and maintainability
- Contribute to experimentation, evaluation, and AI quality frameworks
- Support fine‑tuning, instruction tuning, and model optimisation initiatives
- Mentor junior engineers and contribute to technical best practices
Key Requirements
- Strong Python engineering experience
- Commercial experience building production‑grade AI/ML systems
- Hands‑on experience with RAG architectures and LLM workflows
- Experience with LangChain, LangGraph, and/or Llama Index
- Understanding of evaluation methodologies for generative AI
- Experience working within scalable cloud environments (AWS preferred)
- Ability to operate in a senior or technical leadership capacity
Desirable
- Graph‑RAG experience
- Databricks exposure
- Experience deploying customer‑facing AI systems
This is an excellent opportunity to join a forward‑thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued.
#J-18808-Ljbffr…
