6 of 6 Permanent Retrieval-Augmented Generation Jobs in Newcastle upon Tyne

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 ...

play a key role in building intelligent, scalable features, leveraging the latest in LLMs, retrieval-augmented generation (RAG), and cloud-native technologies. There are multiple roles available, ranging from mid-level to senior engineers, offering opportunities to both deepen technical expertise and take ownership … initiatives. What You’ll Be Doing Design and build AI-powered features using modern LLM frameworks Develop and optimise RAG pipelines (vector databases, embeddings, retrieval strategies) Integrate AI services into existing backend systems and APIs Work with structured and unstructured data to improve model outputs Collaborate with cross ...

play a key role in building intelligent, scalable features, leveraging the latest in LLMs, retrieval-augmented generation (RAG), and cloud-native technologies. There are multiple roles available, ranging from mid-level to senior engineers, offering opportunities to both deepen technical expertise and take ownership … initiatives. What You’ll Be Doing Design and build AI-powered features using modern LLM frameworks Develop and optimise RAG pipelines (vector databases, embeddings, retrieval strategies) Integrate AI services into existing backend systems and APIs Work with structured and unstructured data to improve model outputs Collaborate with cross ...

Understanding and hands-on experience with Transformer models and LLMs (e.g., GPT, LLaMA, Mistral, Claude). Skills in fine-tuning, prompt engineering, and building RAG pipelines. Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Knowledge of reinforcement learning methods or tools (Q-learning, policy gradients, RLlib). Why Join ...

Agentic Engineer (MedTech) Were partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical … experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version ...