9 of 9 Permanent LangChain Jobs in the Thames Valley

/CD practices.AI & DataHands-on experience with:Large Language Models (LLMs)Prompt engineeringRetrieval-Augmented Generation (RAG)Vector databasesAI orchestration frameworks such as LangChain, Semantic Kernel or similarUnderstanding of model evaluation methodologies.Knowledge of responsible AI principles.LeadershipDemonstrable experience leading technical teams.Ability to coach and mentor engineers.Strong technical decision-making skills.Experience influencing stakeholders ...

/CD practices.AI & DataHands-on experience with:Large Language Models (LLMs)Prompt engineeringRetrieval-Augmented Generation (RAG)Vector databasesAI orchestration frameworks such as LangChain, Semantic Kernel or similarUnderstanding of model evaluation methodologies.Knowledge of responsible AI principles.LeadershipDemonstrable experience leading technical teams.Ability to coach and mentor engineers.Strong technical decision-making skills.Experience influencing stakeholders ...

deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS ...

engineers Requirements Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands‐on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure deployment ...

developing Generative AI and Agentic AI solutions Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar Experience designing, evaluating, and optimising prompts for Large Language Models Experience deploying AI solutions into cloud environments, ideally Azure Strong ...

frameworksEvaluation harnesses, evaluation datasets and automated test suites for AI outputsRetrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable)LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents – desirable)Technical and Professional ExpertiseStrong software engineering background with several years building and shipping production software.Substantial hands-on experience with large ...

frameworksEvaluation harnesses, evaluation datasets and automated test suites for AI outputsRetrieval-augmented generation (RAG), vector search, embeddings and retrieval pipelines (desirable)LLM orchestration frameworks (LangChain, Semantic Kernel or equivalents – desirable)Technical and Professional ExpertiseStrong software engineering background with several years building and shipping production software. Substantial hands-on experience with ...

experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Fine-tuning Vector search and embeddings Retrieval pipelines LLM orchestration frameworks such as LangChain, Semantic Kernel or equivalents Multiple LLM providers and an understanding of their respective strengths and weaknesses Automated test suites and evaluation datasets for AI outputs ...

develop, and deploy LLM-based systems, agentic applications and complex AI workflows using generative AI models (Claude, OpenAI, Gemini, etc.) and relevant frameworks (e.g., LangChain, LangGraph, Crew AI, or similar). Deploy, operate, and iterate on AI systems in production environments, including performance tuning and cost optimization. Design and build … workflows, demonstrating an understanding of concepts like planning, memory, tool usage, and multi-agent systems. Familiarity with AI workflow orchestration and agentic frameworks (e.g., LangChain, LangGraph, Crew AI, Haystack, or similar). Practical experience with RAG architectures, embeddings, vector databases, and semantic search. Experience working with Model Context Protocol ...