2 of 2 Retrieval-Augmented Generation Jobs in Wolverhampton

deployment of applications and systems Oversees a variety of tasks, platforms, and technologies to meet evolving requirements Design and develop Generative AI applications, including RAG pipelines, agentic workflows, and Model Context Protocol (MCP) integrations. Collaborate with data owners to build data pipelines, feature engineering processes, and context enrichment strategies that … Exposure to observability and monitoring tools such as Splunk, Grafana, Dynatrace, and ELK. Hands-on experience with LLM frameworks (LangChain, LangGraph, or similar) and RAG architectures. Strong programming skills in Python (preferred) and/or Go, with proven ability to build both prototypes and production applications. Solid understanding of data ...

extremely experienced Head of Backend and VP of engineering as well as closing working with a team of doctors helping build the next generation of AI powered clinical knowledge tools As a Senior Backend Engineer, you'll play a key role in building and scaling the core infrastructure … build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. Collaborate closely with ...