3 of 3 Retrieval-Augmented Generation Jobs in Glamorgan

solutions and can clearly explain both the concepts and the implementation behind them. Essential Experience Building and deploying production LLM applications Strong experience with RAG including: Document ingestion Chunking strategies Embeddings Vector search and retrieval Context engineering Prompt orchestration LLM deployment experience, not just experimentation Azure OpenAI, Ollama … Hallucination detection Response quality measurement Accuracy testing Prompt and context engineering What We're Looking For You should be able to confidently explain: What RAG is and how to build it end to end How embeddings and vector databases work How to deploy and operate LLMs in production ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity * Design advanced solutions including automation, RAG, and LLM-based workflows * Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from a development perspective * Proven mentoring ...

team of engineers. Key Responsibilities * Lead the development and deployment of AI-powered tools to improve efficiency and productivity* Design advanced solutions including automation, RAG, and LLM-based workflows* Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value * Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.)* Experience with RAG and LLM-based solutions* Solid understanding of AI architectures and data pipelines* Knowledge of security, compliance, and governance principles from a development perspective* Proven mentoring ...