7 of 7 DemandTrendContract LangGraph Jobs in England

AI experience Proven experience working in startup environments Strong background in Data or Software Engineering (not Data Science) Experience building and deploying AI pipelines Key Skills Python LangChain/LangGraph/CrewAI LLMs TensorFlow RAG Systems LlamaIndex Additional Info Must have full right to work and live in the UK Immediate start preferred More ❯

unstructured laboratory and sequencing data sources. • Master Full-Stack technologies, such as Python, JavaScript/TypeScript, Cloud (preferably AWS), SQL, Unix Desirable Skills • Deep familiarity with AI frameworks (LangChain, LangGraph, Pydantic AI) with examples of real-world multi-agent AI applications. If you have the above experience please send your CV for immediate consideration as our client are looking to More ❯

LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best practices including version control, testing, and deployment. Desirable Skills Experience More ❯

LangChain, LlamaIndex, and Azure AI Foundry. Strong experience with Azure and generative AI R&D. Practical knowledge of GenAI techniques including prompt orchestration, retrieval methods, and agentic frameworks (e.g., LangGraph, Semantic Kernel Agents). Ability to write production-ready code and apply robust quality control. Familiarity with software engineering best practices including version control, testing, and deployment. Desirable Skills Experience More ❯

Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows More ❯

Langchain, LlamaIndex Deep expertise in Azure and its AI services, including Azure AI Foundry Hands-on experience with GenAI techniques: prompt orchestration, retrieval methods (RAG, knowledge graphs), agentic frameworks (LangGraph, Semantic Kernel Agents) Familiarity with software engineering best practices: version control, testing, deployment Ability to collaborate with AI engineers and translate prototypes into scalable solutions Desirable Skills: Experience optimizing workflows More ❯

Architect and implement LLM-based systems with advanced reasoning capabilities, including context engineering, role-based prompting, and multi-agent orchestration. Select and integrate appropriate frameworks and tools (e.g. LangChain, LangGraph, AutoGen, CrewAI, Agno, Smallagons, OpenHands) for specific use cases. Design, optimise, and evaluate tokenisation, embedding, and vector store strategies - including trade-offs between embedding dimensions, indexing performance, and retrieval costs. … deploying production-grade LLM solutions . Expert understanding of context engineering and prompt design patterns for multi-modal, multi-agent environments. Strong knowledge of multi-agent frameworks (CrewAI, AutoGen, LangGraph, Agno, OpenHands, etc.) and when to use them. In-depth knowledge of tokenisation strategies (e.g. BPE, SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their More ❯