11 of 11 Permanent LangGraph Jobs in the UK excluding London

through delivery Required Experience Proven experience as an AI Architect/Machine Learning Architect/GenAI Architect Hands-on expertise with LLMs, RAG, LangChain, LangGraph, prompt engineering Strong cloud experience: Azure OpenAI, AWS Bedrock/SageMaker or GCP Vertex AI Experience with Kubernetes, Docker, microservices, API integration Strong knowledge ...

Develop AI Applications & Agentic Systems Architect, build and optimise production-grade Generative AI and agentic applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations ...

Python skills Experience with cloud platforms Knowledge of RAG, vector databases, and LLM frameworks Git and CI/CD experience Experience with LangChain and LangGraph AWS experience IT/Technology-related university degree (minimum 2.1 ...

patterns. Leading client workshops to identify high-value AI use cases and shape AI strategy. What You Bring Strong experience with Agentic AI frameworks (LangGraph, AutoGen, CrewAI). Hands-on expertise with LLMs, prompt engineering, fine-tuning, and retrieval strategies. Proficiency in Python and deep learning/NLP libraries (LangChain ...

systems that are robust, scalable, and client-ready. Key Responsibilities Lead Agentic DevOps Strategy: Define and implement scalable DevOps frameworks for agentic systems using LangGraph, Crew AI, Autogen, and other orchestration tools. Framework Development: Build reusable scaffolding for agent lifecycle management, orchestration, monitoring, and metering. Cloud-Native Deployment: Architect ...

willingness to adapt. Experience working with RESTful APIs and/or GraphQL Experience using version control tools (e.g., git) Experience with LangChain or LangGraph for building multi-step Agentic AI workflows is a plus, though not essential Good understanding of development best practices such as pair programming and TDD Desire ...

proofs of concept. Technical requirements: • 1-2 years building LLM solutions deployed to production • Strong Python coding skills • Experience with LLM orchestration frameworks (LangChain, LangGraph, Crew AI, or similar) • Knowledge of cloud infrastructure • Understanding of how to build reliable systems that handle non-deterministic outputs • Experience working in agile teams ...

e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn) Experience with LLMs and fine tuning (OpenAI, open-source models) Hands-on experience with agent frameworks (e.g. LangGraph, AutoGen, CrewAI, etc.) Experience deploying AI systems to production AI Solution design Experience deploying models into production environments Experience of data processing tools and databases ...

What We're Looking For Strong Python engineering experience with production-grade systems Hands-on with LLM-powered applications and agent orchestration frameworks (e.g., LangGraph) Experience with stateful systems, caching, and reliability engineering Proficiency in FastAPI, Docker, and Redis Comfortable in a small, senior, high-impact team Why Join? Work ...

Forward Deployed Engineer Generative AI/LLM Deployment GenAI | LangChain | RAG | AWS | Kubernetes | Customer-Facing We are hiring a Forward Deployed Engineer to lead the deployment of production-grade Generative AI and LLM solutions into ...

cases Develop automation-first AI pipelines for regulatory processes (e.g. monitoring, reporting, compliance checks) Implement multi-agent systems using modern orchestration frameworks (e.g. LangGraph or similar) Build and productionise machine learning models for classification, extraction, prediction, or anomaly detection Integrate LLMs, generative AI, and traditional ML into scalable, secure applications …/ML and backend services Hands-on experience with agentic AI architectures and autonomous workflows Practical experience with AI orchestration frameworks (e.g. LangGraph, LangChain, custom agent frameworks) Experience building and deploying machine learning models in production Understanding of the AI lifecycle : prompt engineering, workflow orchestration, deployment, evaluation, monitoring Experience working ...