3 of 3 Permanent Retrieval-Augmented Generation Jobs in Merseyside

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 ...

automation Hands-on exposure to tools such as Azure OpenAI, Copilot Studio, or similar platforms Understanding of generative AI approaches, including prompt engineering and RAG Experience integrating enterprise systems via APIs and connectors Familiarity with Power Platform (Power Automate, Power Apps) Awareness of governance, security, and data protection considerations Strong ...

their data needs and unblock them quickly. Bring AI Into Your Own Workflow: Use AI tooling to accelerate your own engineering, from code generation to pipeline documentation to data quality checks. Team & Operations Share What You Know: Champion knowledge sharing and best practice across the team and wider … Experience with Terraform or equivalent infrastructure-as-code tooling. Familiarity with statistical, ML or AI concepts, and ideally with building data layers that feed RAG pipelines, agents, or LLM-based applications. Comfort with vector databases, embeddings or semantic search is a plus. Working knowledge of Google's marketing stack: Google ...