6 of 6 Permanent Retrieval-Augmented Generation Jobs in Leeds

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt … engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning ...

activities. Working within an AI Centre of Enablement, you will provide deep technical expertise across Generative AI, Agentic AI, Retrieval Augmented Generation (RAG), and enterprise AI delivery. This role requires a strong hands-on technical background combined with the ability to guide best practices … support enterprise-scale AI adoption. Key Responsibilities * Design and develop advanced AI solutions using LLMs, RAG architectures, and automation workflows. * Deliver scalable AI capabilities across enterprise environments within the Microsoft AI ecosystem. * Support AI model optimisation, data readiness, and performance enhancement activities. * Develop reusable AI assets including prompt libraries, templates ...

audiences. Experience supporting presales or business development activities. Experience across varied software development technologies and approaches. AI/LLM application development, including prompt engineering, RAG architectures, and agent-based workflows. #J-18808-Ljbffr ...

Looking For Essential: Strong background in software engineering, architecture or technical delivery Clear pivot into AI, with hands-on understanding of LLMs, agent architectures, RAG and modern AI ecosystems Experience leading client AI or digital transformation engagements Consultancy or professional services background Ability to translate AI capability into commercial value ...

solutions into real-world client environments. What You’ll Be Doing Owning and evolving our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Designing internal AI tooling to accelerate delivery Leading advanced technical AI sessions within our upskilling programme Evaluating emerging … Essential: Strong software engineering foundations (clean code, testing, CI/CD, production mindset) Hands-on experience with LLMs (API integrations, prompt engineering, agent workflows, RAG systems) Experience shipping AI-powered features to production Proficiency in 2+ modern programming languages Familiarity with evolving AI tooling (MCP, A2A, Threads or similar) Consultancy ...