6 of 6 Remote/Hybrid Retrieval-Augmented Generation Jobs in Central London

standards across AI projects. Design and deliver solutions involving generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering and agentic AI. Establish robust approaches to model evaluation, monitoring, performance measurement and continuous improvement. Drive high-quality engineering practices, including Python development … machine learning solutions into production. Strong technical leadership and architecture experience across AI engineering and software delivery. Practical knowledge of generative AI, LLMs, RAG, prompt engineering, agentic AI and model evaluation. Strong Python development skills and a sound understanding of software engineering best practice. Experience delivering AI solutions at scale ...

cloud technology. You'll take ownership of AI architecture and implementation, designing multi-agent workflows, retrieval-augmented generation (RAG) solutions and AI microservices. Working closely with architects and product teams, you'll turn business requirements into secure, reliable AI applications, with a focus … Python development skills Azure OpenAI and Azure AI Foundry Semantic Kernel and LangGraph Model Context Protocol (MCP) and tool integration Azure AI Search and RAG architecture Multi-agent systems and orchestration workflows Vector databases, embeddings and semantic search Event-driven architectures and REST APIs Docker, Kubernetes and AI microservices MLOps ...

Actions, Azure DevOps, RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. … React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL, BigQuery, TDD, DDD. Deerfoot Recruitment Solutions ...

design and development of AI, Machine Learning, and Generative AI solutions. Drive the adoption of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and Agentic AI approaches. Define evaluation frameworks, testing strategies, and model performance standards. Act as the technical authority for scientific decisions … What We're Looking For Significant hands-on experience in AI, Machine Learning, and Data Science. Deep expertise with LLMs, Generative AI, Prompt Engineering, RAG, and Agentic Systems. Strong Python programming skills and experience with modern AI frameworks. Excellent understanding of statistics, machine learning methodologies, and model evaluation. Experience delivering ...

controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures Familiarity with LLMOps tooling such as LangSmith, LangChain, or LangGraph Understanding of model evaluation, validation techniques, and production monitoring Experience working in cross-functional … help you with them: Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with ...

doing Building AI applications, copilots, agents and automated workflows Developing solutions using Azure OpenAI, Azure AI services and Copilot Studio Building RAG and enterprise search solutions using internal business data Connecting AI solutions into platforms such as Microsoft 365, SharePoint, Dataverse and other business systems Working with APIs, connectors … Microsoft ecosystem. Ideally, your background will include several of the following: Azure OpenAI Azure AI Foundry Copilot Studio Microsoft 365 Copilot Azure AI Search RAG/knowledge-grounded AI applications AI agents and agentic workflows Microsoft Fabric Power Platform Azure Functions/Logic Apps APIs and system integrations Python, C# ...