26 to 50 of 209 LangChain Jobs in England

Bonus Points Experience with any of the following would be highly advantageous: AI gateways and model routing Prompt management platforms AI evaluation frameworks LangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworks Vector databases and semantic retrieval Knowledge graphs or document understanding systems Building internal AI platforms used by multiple ...

prompts for production use cases including classification, summarisation, code generation, and autonomous decision‐making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent— including multi‐agent orchestration and tool‐use patterns. Excellent engineering skills and strong understanding of the software development lifecycle, GitOps ...

with Express or equivalentFrontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite.GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript).LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama ...

Hands-on experience with OpenAI/Azure OpenAI, prompt engineering, RAG, embeddings and vector search • Proven experience building agentic AI with LangGraph or similar (LangChain, Semantic Kernel, AutoGen, CrewAI) • Experience with vector databases (pgvector, Azure AI Search, Pinecone, Weaviate, Chroma, FAISS, Milvus or OpenSearch) • Cloud (Azure/AWS/ ...

services environment. You'll ideally have experience with: Python and SQL Large Language Models (LLMs)Prompt engineering, fine-tuning and Retrieval-Augmented Generation (RAG) LangChain, LangGraph or similar agent frameworks Vector databases such as Pinecone, Chroma or FAISS AI Agents and Generative AI applications Cloud platforms including AWS and/ ...

client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: * Experience working in a major Consulting firm, and/or in industry ...

Help define best practices, technical standards, and reusable patterns for AI development across the organization. Develop agentic AI workflows using orchestration frameworks such as LangChain, or similar. Develop and maintain AI system blueprints, ensure integration with existing infrastructure, and optimize performance and scalability. Ensure compliance, observability, and scalability are embedded ...

management on AKS. Strong hands‐on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi‐step agentic workflows and tool‐calling agents. Hands‐on experience with Azure AI Search or other vector/hybrid search solutions, including vector ...

commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing) - LLMOps/MLOps - model versioning, deployment ...

landscape of AI technologies. Experience AI Orchestration & Development: Expert‐level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural language processing (NLP) techniques, and the optimization of large language ...

services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with ...

services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents)* Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy ...

Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability ...

engineering, data, DevOps and business teams - Advise clients on AI platform capability and implementation strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing ...

with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise ...

practices. Hands‐on experience with LLM integration, RAG architectures, AI orchestration frameworks, and Agentic AI solutions. Experience with AI frameworks and tools such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. #J-18808-Ljbffr ...

with engineering, data, DevOps and business teams Advising clients on AI platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise ...

prototypes (Copilot Studio, Azure AI Foundry, Databricks Mosaic AI, Genie, MLflow) Design and tune RAG systems — embeddings, prompt engineering, evaluation Build AI agents using LangChain, LangGraph, AutoGen, and similar frameworks Deploy models via Azure OpenAI, Azure AI Foundry, and Docker Write clean, modular Python (OOP, Pydantic, PyTorch) following solid DevOps ...

validate, evaluate, and improve AI-generated outputs; understanding of AI limitations and responsible use Familiarity with agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph, or equivalent), RAG pipelines, and how full-stack applications connect to agent-based architecture; production experience preferred, conceptual understanding required ...

Strong experience with cloud platforms (AWS, Azure, GCP). Experience with ML frameworks (PyTorch, TensorFlow, scikit‐learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG). Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems. Experience designing and scaling low‐latency ...

Data & AI Tooling*** Experience working with structured and unstructured data.* Familiarity with vector stores, embeddings, and document processing pipelines.* Exposure to orchestration frameworks (e.g. LangChain‐style patterns) is desirable.**Domain Experience (Highly Desirable)*** Experience delivering AI or data solutions in insurance or financial services.* Understanding of insurance workflows such ...

Language Models (OpenAI, Anthropic, Gemini or open-source alternatives). Python and modern software engineering practices. AI APIs, SDKs and orchestration frameworks such as LangChain, LangGraph, LlamaIndex or similar. Retrieval-Augmented Generation (RAG), vector databases and semantic search. AI agents, workflow automation and orchestration. Cloud platforms such as AWS, Azure ...

world problems. Strong backend engineering expertise, including RESTful APIs and micro‐services design. Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI). Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure‐as‐Code (Terraform). Proven problem‐solving skills ...

cloud‐native development practices (Azure preferred). Practical experience with prompt engineering, retrieval‐augmented generation (RAG), fine‐tuning, and AI orchestration frameworks such as LangChain, Semantic Kernel, or equivalent. Strong understanding of data engineering fundamentals and how AI solutions interact with data platforms, pipelines, and governance. Experience operating across large ...

against priorities. Technology Vision: Stay current with the rapidly evolving AI landscape, including new foundation models, open‐source frameworks, vector databases, orchestration tools (e.g., LangChain, Semantic Kernel), and evaluation methodologies. Bring new ideas to the team and lead proof‐of‐concept development to assess feasibility and value. Deputising: Represent ...