3 of 3 Remote/Hybrid Retrieval-Augmented Generation Jobs in Glamorgan

Azure AI services. * Build multi-agent systems and AI-powered workflows, integrating with existing applications and data sources. * Apply techniques such as prompt engineering, RAG and agent orchestration to improve AI performance. * Implement AI security, monitoring, testing and governance measures. * Take ownership of solutions throughout the full development lifecycle, from … integration. * Experience with Azure AI services, Azure OpenAI, AI Search or similar technologies. * Understanding of Retrieval-Augmented Generation (RAG), prompt engineering and AI orchestration. * Python experience is desirable but not essential. * Experience working with Public Sector, or other regulated environments would be beneficial. * Must ...

Design, build and deliver AI-powered applications and automation solutions Integrate LLMs and AI services into real-world applications Work with AI agents, RAG architectures and orchestration Help define the technical direction of a new Digital & AI capability Build the controls, observability and governance needed to use AI safely … LLMs or AI services into applications , rather than solely using AI as a development tool Understanding of areas such as LLM APIs, orchestration, agents, RAG, guardrails and observability AWS experience, ideally including exposure to Amazon Bedrock JavaScript/TypeScript and modern web engineering experience Experience with Node.js, React, Next.js ...

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 ...