1 to 25 of 122 LangChain Jobs in the UK excluding London

skills.Experience working in Agile/Scrum or pod-based delivery environments.Generative AI & LLMs: OpenAI/Azure OpenAI APIs Prompt Engineering RAG (Retrieval Augmented Generation) LangChain/LangGraph AI Agents Vector Databases (FAISS, ChromaDB, Pinecone anyone they can learn and come) FastAPI-based AI services LLM Evaluation and Testing Nice ...

Multi-Agent Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/Azure OpenAI, AWS Bedrock and SageMaker, Google Vertex AI, and hybrid and multi ...

Requirements Strong Python skills and a solid grounding in software engineering practice Experience building applications with large language models and orchestration frameworks such as LangChain, LangGraph or LlamaIndex Hands-on experience with AWS and/or Azure Understanding of machine learning fundamentals, embeddings and vector databases Experience with ...

high‐value AI opportunities across Waystone. AI Engineering: Prototype AI features and iterate towards production‐ready capabilities. Build agentic workflows using frameworks such as LangChain or Microsoft Agent Framework, with a solid understanding of agent fundamentals (tools, memory, orchestration, context control). Implement AI agents with tool integration, memory, context ...

tools such as MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK* Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar.* Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging ...

hands-on with emerging technologies – exploring what works, what scales, and what’s next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

best practices, testing, version control, and deployment. Ability to work with technical and non-technical stakeholders. Desirable Skills Experience with OpenAI, Azure OpenAI, Anthropic, LangChain, LlamaIndex, Hugging Face, or similar tools. Experience deploying AI models or AI applications into production. Knowledge of MLOps, CI/CD, monitoring, and model evaluation. ...

experience developing scalable, modular, and maintainable Python applications Experience developing and deploying well-tested Generative AI applications, using relevant frameworks such as LangGraph/LangChain, Strands SDK, Anthropic SDK, AWS Bedrock, or CrewAI Experience in machine learning development, including training, evaluating, deploying, and monitoring models Experience with deep learning ...

hands‐on with emerging technologies – exploring what works, what scales, and what’s next. Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval‐augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures ...

developing React applications using TypeScript. Familiarity with frameworks such as Next.js, Vite, or similar. Generative AI Technologies Experience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools. Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar. ...

complex data movement and model training pipelines. Search & Discovery: Advanced ElasticSearch/OpenSearch for semantic search and large-scale indexing. AI Frameworks: Exposure to LangChain, LlamaIndex, or Hugging Face libraries for integrating Large Language Models (LLMs) into production applications. Model Ops (MLOps): Understanding the lifecycle of a model—from deployment ...

direction. Background: Experience in the banking or financial industry is beneficial. Beneficial Skills: Experience with Vertex AI or other model lifecycle tooling. Knowledge of LangChain/LangGraph, RAG patterns, and AI workflow orchestration. Experience in multi cloud (GCP/Azure/AWS) or hybrid environments. Understanding of enterprise integration ...

enterprise environments is beneficial. Beneficial Experience Hands-on experience with Vertex AI or equivalent model lifecycle tooling. Practical familiarity with orchestration frameworks such as LangChain or LangGraph. Knowledge of multi-cloud architectures (GCP, Azure, AWS) and event-driven architectural patterns. Why Join This Project? This contract offers the opportunity ...

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 About our client Our client ...

environments - not just notebooks and academic experiments. Hands-on proficiency with Large Language Models (LLMs), prompt engineering, and agentic frameworks and orchestration tools (e.g., LangChain, LlamaIndex, AutoGen, or similar). Strong software engineering fundamentals - comfortable working across the stack, from backend services and API integrations to lightweight front ...

autonomous agent systems, building next-generation AI applications using foundation models, retrieval-augmented generation (RAG) architectures and agent frameworks such as Google ADK and LangChain, helping transform how the Bank serves customers and empowers colleagues. Data engineering, MLOps and intelligent automation, creating resilient data pipelines, scalable deployment architectures and automated ...

implemented in Java or Python . Gen AI & Agent Implementation: Implement and optimize advanced RAG pipelines and stateful multi-agent workflows using Google ADK , LangChain, LangGraph, AWS Bedrock, or equivalent technologies, incorporating structured outputs, tool calling, and human-in-the-loop steps. Evaluation & Benchmarking: Implement automated offline and online evaluation ...

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 teams from problem framing through to production delivery Ability ...

TypeScript, using frameworks such as Next.js or Vite.* AI and Agentic Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic ...

TypeScript, using frameworks such as Next.js or Vite.* AI and Agentic Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic ...

TypeScript, using frameworks such as Next.js or Vite. AI and Agentic Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration. LLM Experience: Practical, production experience with LLM providers (Anthropic ...

Looking For 7+ years software engineering experience 2+ years hands-on in AI/ML & GenAI solutions Strong Python & Java skills Experience with LangChain, LlamaIndex, CrewAI, or similar Knowledge of RAG, vector databases, and semantic search AWS cloud expertise (Bedrock, SageMaker preferred) Experience with APIs, microservices, and cloud-native architecture ...

full-stack or platform engineering, with recent hands-on GenAI work. Strong skills in LLMs, RAG, embeddings, vector databases and multi-agent orchestration (LangChain, LangGraph, ADK or similar). Python and/or TypeScript; REST APIs, event-driven integration, Docker and Kubernetes. Cloud experience, preferably Azure ...

grade software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs, RAG architectures, vector databases, prompt engineering, agentic AI, and multi-agent systems. Experience deploying, monitoring ...

multi-agent or agentic AI systems in live production settings, as an engineer rather than an integrator Strong Python skills, comfortable working with LangGraph, LangChain, Haystack or similar, and equally comfortable dropping below the framework when that's the right call Real-world experience deploying AI/ML systems into ...