5 of 5 Permanent Retrieval-Augmented Generation Jobs in East Sussex

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationSchema validation and structured data handlingAI-assisted developmentUse of AI-assisted and agentic development tools … over context, call tools, and perform actions under guidance from senior engineers.Help implement and maintain retrieval-augmented generation (RAG) pipelines over financial data, with an emphasis on correctness and safety.Contribute to shared AI infrastructure such as LLM services, orchestration components, and evaluation or monitoring ...

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 ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationStrong schema, validation, and state management practicesAI-assisted developmentFluency with AI-assisted and agentic development workflows … manage their finances.Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure.Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety.Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks, and evaluation ...

REST, gRPCDistributed systems: event-driven architectures, including KafkaAgentic AI and MLCommercial and open-source LLMs integrated into agentic workflowsTooling for agent orchestration, retrieval-augmented generation, vector storage, and evaluationStrong schema, validation, and state management practicesAI-assisted developmentFluency with AI-assisted and agentic development workflows … finances. Build agentic AI systems that reason over context, invoke tools, take real actions, and recover gracefully from failure. Architect and implement production-grade RAG pipelines over sensitive financial data, with strict requirements for correctness, auditability, and safety. Contribute to shared AI infrastructure, including LLM services, agent orchestration frameworks ...