3 of 3 Permanent Multi-Agent System Jobs in Manchester

technologies. Build intelligent RAG (Retrieval-Augmented Generation) solutions leveraging Embeddings and Vector Databases . Develop and orchestrate AI Agents and Multi-Agent Systems to automate complex business workflows. Apply Prompt Engineering and Context Engineering techniques to optimise AI performance and accuracy. … Generative AI (GenAI) , Large Language Models (LLMs) , Natural Language Processing (NLP) Prompt Engineering , Context Engineering AI Agents , Agentic AI , Multi-Agent Systems LangChain , LangGraph , Model Context Protocol (MCP) RAG , Embeddings , Vector Databases Python , SQL , REST APIs Git , CI/CD Cloud ...

evaluation frameworks Contribute across the full solution lifecycle: design, build, testing, deployment, and iteration Support development of agentic systems (multi-agent workflows, orchestration, human-in-the-loop) Optimise performance, cost, and maintainability in cloud environments (AWS/Azure) Work closely with … client-facing environments , translating business needs into solutions Experience with OpenAI or similar LLM platforms and exposure to agentic architectures (multi-agent systems, orchestration, HITL workflows) Experience with vector databases and familiarity with PyTorch or TensorFlow Reply is an Equal Opportunities ...

orchestration frameworks such as LangChain or LlamaIndex. Solid understanding of LLMs, embeddings, and prompt engineering. Highly Desirable: Experience designing multi-agent systems or autonomous workflows. Hands-on experience with Docker and deploying containerised, cloud-native tools. Experience with advanced retrieval-augmented ...