26 to 50 of 85 LangGraph Jobs in the UK

technically complex challenges Excellent communication and collaboration skills within multidisciplinary teams Nice to have (but not required) Experience with AI frameworks such as LangChain, LangGraph or similar Experience deploying AI workloads within AWS, Azure or GCP Knowledge of MLOps, containerisation or Kubernetes Experience working on National Security, Defence or Intelligence ...

Models (LLMs) Retrieval-Augmented Generation (RAG) Prompt Engineering AI Guardrails AI Evaluation Frameworks Experience with AI frameworks such as Agent Development Kit (ADK), LangChain, LangGraph, CrewAI, or similar. Experience working with cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Strong understanding of system reliability, observability, monitoring ...

similar platforms Experience with Generative AI, LLMs, prompt engineering, embeddings and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar Understanding of MLOps, LLMOps and model deployment principles Strong knowledge of APIs, integration and modern architecture principles Ability to communicate technical concepts to both ...

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 and event architecture. ...

learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red‐teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi‐agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross‐modal reasoning Track ...

Qualifications, Capabilities, and Skills: \n \n Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites. \nHands-on experience with agentic frameworks (LangChain, LangGraph).Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.Demonstrated experience in financial services, particularly investment banking operations.\n Join us to help shape ...

world tasks (text, code, image, multimodal generation) and familiarity with advanced prompt engineering, structured outputs, function/tool calling, and orchestration frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. Hands‐on exposure to API-based LLM providers (Claude, GPT, Gemini) and open‐source solutions (Llama, Mistral). Agentic AI & Orchestration … that reason, plan, and act using tools. Familiarity with agentic design patterns (ReAct, planning, reflection, human‐in‐the‐loop) and agent frameworks such as LangGraph, CrewAI, MAF, OpenAI Agents SDK, and Google’s Agent Development Kit (ADK). Experience building agentic workflows with memory, state management, and reliable multi‐step ...

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 ...

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 ...

environments (FS preferred). Proven experience building agentic solutions using Microsoft Copilot Studio/Foundry, AWS Bedrock/AgentCore, and frameworks such as LangChain, LangGraph, CrewAI, Strands. Comfortable across Microsoft and AWS cloud ecosystems, including LLM gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience ...

environments (FS preferred). Proven experience building agentic solutions using Microsoft Copilot Studio/Foundry, AWS Bedrock/AgentCore, and frameworks such as LangChain, LangGraph, CrewAI, Strands. Comfortable across Microsoft and AWS cloud ecosystems, including LLM gateway/Bedrock patterns, data residency, SSO/OIDC federation, and cost controls. Experience ...

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 ...

build production-grade Agentic AI systems What you'll do Build multi-agent systems & stateful workflows using Google ADK/LangChain/LangGraph Tool calling & API integration - secure Python APIs that agents can actually use Prompt engineering & state management - system instructions, memory, context windows Structured outputs - JSON schemas + Pydantic ...

container orchestration. Experience building Retrieval‐Augmented Generation systems (secondary focus). Experience with AI orchestration frameworks such as CrewAI, AGNO, ADK, LangChain/LangGraph (preferred). Python proficiency for AI prototyping and tooling (preferred). Experience with Kubernetes or other container orchestration platforms (preferred). Open‐source contributions and community ...

working in highly technical, product-led environments Nice to Have Hands-on experience building LLM or agentic AI applications Experience with frameworks such as LangGraph, RAG or MCP Understanding of MLOps and AI deployment practices Experience testing and evaluating non-deterministic AI systems Infrastructure as Code and cloud platform experience ...

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 ...

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 ...

systems (secondary focus). Demonstrated ability to prototype quickly and iterate based on feedback. Experience with AI frameworks such as CrewAI, AGNO, ADK, LangChain, LangGraph or similar (preferred). Python proficiency for AI prototyping and tooling (preferred). Experience with Kubernetes or other container orchestration platforms (preferred). Open‐source ...

develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform … equivalent Frontend 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 ...

develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform … equivalent Frontend 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 ...

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 ...

language Develop and integrate solutions using Azure OpenAI Services, including prompt engineering, embeddings, and fine-tuning strategies Implement orchestration pipelines using Semantic Kernel and LangGraph for multi-agent workflows Integrate tools, APIs, and enterprise systems using MCP (Model Context Protocol) or similar frameworks Design memory, state management, and context-aware ...

including experience deploying end-to-end pipelines on AWS.Strong proficiency in Python.Hands-on experience in system design, application development, testing, and operational stability.Experience using LangGraph for multi-agent orchestration and NLQ integration.Experience with AWS and infrastructure-as-code tools such as Terraform.\n Preferred Qualifications, Capabilities, And Skills ...

including experience deploying end-to-end pipelines on AWS.Strong proficiency in Python.Hands-on experience in system design, application development, testing, and operational stability.Experience using LangGraph for multi-agent orchestration and NLQ integration.Experience with AWS and infrastructure-as-code tools such as Terraform.\n Preferred qualifications, capabilities, and skills ...