4 of 4 Retrieval-Augmented Generation Jobs in Exeter

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 ...

reduction in repeat manual work.Secure AI Application and Cloud-AI GuardrailsDefine secure design patterns for AI-enabled applications, including LLM-based features, retrieval-augmented generation, AI agents, AI APIs, copilots, and automation workflows.Establish cloud security requirements for AI workloads, including identity, secrets, data storage … NIST AI Risk Management Framework, NIST Generative AI Profile, OWASP Top 10 for LLM Applications, or Cloud Security Alliance AI security guidance.Experience with RAG architecture, AI agents, vector databases, AI APIs, prompt engineering, or AI application threat modelling.Experience building security knowledge assistants, prompt libraries, AI-assisted review workflows, or security ...

wider organisation.About the role: This position serves as a subject matter expert for Machine Learning Engineering, supporting production AI/ML, LLM/RAG, and agentic workflow capabilities for legal content products. In addition to writing code on complex systems, this position provides technical direction on architecture, MLOps, responsible … practices, including model lifecycle management, CI/CD, testing, monitoring, release management, observability, and operational support.Practical experience with LLM-based capabilities, including retrieval-augmented generation, semantic search, embeddings, prompt design, evaluation, guardrails, and observability.Experience with agentic workflows, tool orchestration, and multi-step AI processes.Strong ...

partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.Key Responsibilities:Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search).Define agentic workflows and reasoning strategies for multi-step IP tasks.Develop retrieval strategies, including hybrid search (semantic + lexical … based modeling.Strong experience designing and running experiments, including model evaluation and iteration.Strong coding skills in Python.Experience with generative AI techniques (e.g., prompt engineering, RAG).Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent ...