126 to 150 of 286 LangGraph Jobs in the UK

architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ...

architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ...

architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ...

architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Prompt Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ...

Knowledge Graphs Experience with LLMs, RAG, or GraphRAG architectures Understanding of AI agents and autonomous workflows Cloud experience (AWS, Azure, or GCP) Desirable: LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks Experience deploying GenAI solutions into production environments Details: Outside IR35 Fully Remote 6 month contract Upto £850p/ ...

Bring Strong Python development experience building production AI applications. Proven experience developing Agentic AI, LLM and RAG solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

Experience AI governance and responsible AI frameworks. MLOps and LLMOps tools and methodologies. Prompt engineering and model fine-tuning. Agentic AI frameworks such as LangGraph, AutoGen, or CrewAI. AI orchestration platforms such as n8n or similar technologies. Knowledge graph technologies. Data lake and analytics platforms. Experience supporting organisation-wide ...

enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern ...

enabled environments·Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns·Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies·Understanding of MLOps, LLMOps and model lifecycle management principles·Experience designing APIs and integrating AI solutions into enterprise environments·Strong understanding of modern ...

Augmented Generation (RAG). Knowledge of vector databases and semantic search. Experience with Python alongside TypeScript. Familiarity with AI orchestration frameworks such as LangChain, LangGraph, or similar. Experience with CI/CD pipelines, Infrastructure as Code, and containerization. Knowledge of modern frontend frameworks such as React or Next.js. Experience working ...

Framework Semantic Kernel Power Platform Enterprise Data Platforms Azure Machine Learning Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Agentic AI architectures LangChain/LangGraph MLOps & LLMOps Cloud-native architectures Data governance and security frameworks What We're Looking For You'll likely be operating as an AI Architect, Lead ...

direction for a lean team of 3 agent engineers, raise the engineering bar, and grow the pod's agentic capability. Must Have Skills python LangGraph Open AI Agents SDK Model Context Protocol (MCP) Amazon Bedrock Large Language Models (LLMs ...

raise the engineering bar. Champion best practices for governance, observability, and lifecycle management of AI systems. Evaluate and introduce emerging frameworks, including Autogen , LangGraph , and other agentic ecosystems. Partner with senior stakeholders to align AI strategy with business goals. Drive the evolution of our internal platform ( Pathway ) to enable faster ...

experience : Demonstrated experience with AI Development Life Cycle practices and methodology. Orchestration : Production, hands‐on experience with an agentic framework such as LangGraph, plus familiarity with MCP‐based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code — you care about ...

years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments. Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration. Proven MLOps/LLMOps capability — CI/CD for models, monitoring, evaluation, and cost optimisation. Hands‐on software engineering ...

systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred ...

experience : Demonstrated experience with AI Development Life Cycle practices and methodology. Orchestration : Production, hands-on experience with an agentic framework such as LangGraph, plus familiarity with MCP-based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code — you care about ...

including the ability to explain complex technical concepts to non-technical stakeholders.What Would Make You Stand Out:Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel).Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling.Familiarity with BI platforms (e.g., Qlik, Power ...

years of hands-on backend software engineering experience. Support the organisation’s AI adoption journey. Develop and enhance intelligent solutions using LLMs, LangChain/LangGraph, and agentic AI frameworks. Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites. Strong ...

both engineers and non-technical stakeholders, alongside a passion for writing useful documentation.Nice-to-HavesAgentic AI Experience: Hands-on experience with agent orchestration (Strands, LangGraph, AutoGen, or similar), RAG, tool use, and context engineering.Production LLM Systems: Familiarity with LLM observability (Langfuse), evaluation (Ragas), token/cost management, and reliability patterns.AWS ...

evaluation frameworks, benchmarking systems, or automated testing pipelinesHands-on experience with agentic workflows, tool-using AI systems, or multi-agent coordination (examples include: langgraph, AutoGPT, LLamaIndex)Experience with data-centric ML approaches including synthetic data generation, data curation, or curriculum learning pipelinesExperience training large-scale models over distributed nodes with ...

multimodal models, and earlier architectures such as GANs and VAEs. Experience across text, code, image, and multimodal generation; advanced prompt engineering; orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel). Hands‐on exposure to both API‐based (Claude, GPT, Gemini) and open‐source (Llama, Mistral) LLM‐based solution design. Agentic … Multi‐Agent Architecture – design of autonomous and multi‐agent systems, agentic design patterns (ReAct, planning, reflection, tool use, human‐in‐the‐loop), and frameworks (LangGraph, CrewAI, MAF, OpenAI Agents SDK, Google ADK). Proven ability to architect reliable agentic workflows with memory, state management and safe multi‐step task execution ...

with modern Gen AI development techniques and tooling such as advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands-on exposure to both API-based (e.g., Claude, GPT, Gemini) and open-source (e.g., Llama, Mistral) LLM-based solution design. … using tools. Command of agentic design patterns (e.g., ReAct, planning, reflection, tool use, human-in-the-loop) and agent frameworks such as LangGraph, CrewAI, MAF, the OpenAI Agents SDK, and Google’s Agent Development Kit (ADK). Proven ability to architect reliable agentic workflows with memory, state management, orchestration ...

Engineer/Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph/LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j/RDF/graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI ...