76 to 98 of 98 LangGraph Jobs in the UK

/CD and generative AI abstraction layers Model the cost, feasibility and risk of different LLMs and implementation approaches THE STACK AWS, Bedrock, LangGraph, LangChain, Python, FastAPI, PostgreSQL, Snowflake, Airflow, React, Next.js, Kubernetes. YOUR EXPERIENCE 15+ years in enterprise software engineering with a background in product engineering organisations or technology … companies Deeply technical: recent evidence of designing systems from scratch and driving architectural decisions across multiple teams Agentic AI delivered in production, ideally LangGraph or LangChain, with strong Python and FastAPI AWS architecture at scale, with a preference for open standards over cloud-native lock-in Full-stack understanding across ...

observability, and performance across the AI stack. Key Responsibilities Design and develop multi-agent AI systems using frameworks such as Google ADK, LangChain, and LangGraph Build and maintain stateful workflows , orchestration layers, and agent decision-making processes Develop secure, scalable Python APIs and backend services that integrate with AI agents … Experience building APIs, microservices, and scalable production applications Hands-on experience with LLM platforms including OpenAI, Gemini, Claude, or similar Proven experience with LangChain, LangGraph, Google ADK , or related AI orchestration frameworks Strong understanding of agentic architectures, workflow orchestration, and AI application design Experience working with Google Cloud Platform ...

experience with GenAI (e.g., Playwright with MCP). Required experience with AI-assisted coding tools (e.g., GitHub Copilot, Claude). Knowledge of LangChain , LangGraph , or cloud environments is highly desirable (a plus). Soft Skills & Cultural Fit Passion: A genuine drive for improving software delivery, productivity, and overall code quality. ...

Data Science AI Engineer - RAG Chatbot LangGraph exp London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Agentic AI/Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data … experimentation, and production deployment — while contributing to systems used by global What you'll be working on as Data Science AI Engineer - RAG Chatbot LangGraph exp: AI Agents powered by LLMs and advanced RAG/Agentic architectures. LLM Chatbots that support user’s queries through automated search, content ranking ...

they're adopted across the wider business. You'll be working with technologies including Azure Databricks, Azure Machine Learning, Azure AI Foundry, LangChain, LangGraph and Python, building enterprise AI applications using RAG, vector databases, prompt orchestration and tool-calling patterns. You'll need experience with: Deploying LLMs and machine learning … models into Azure enterprise environments. Azure Databricks, Azure Machine Learning and ideally Azure AI Foundry. Building production AI applications using LangChain, LangGraph and Python. MLOps/LLMOps including deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool-calling patterns. Building end-to-end AI/ ...

world, with Responsible AI, evaluation and security as non-negotiables . Technology manda teLanguage : Python preferab leFrameworks : Agent Development Kits (ADKs) ; e.g. Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore, Microsoft Agent Framework/Semantic Kernel. Framework choice follows the engagement; the discipline is the sam e.Models : Multi … solid software engineering principles (design, version control, architectur e).Hands-on agent buildi ng with at least one agent development kit (Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, AWS Bedrock AgentCore or Microsoft Agent Framework/Semantic Kerne l).Solid command of agent engineerin g: prompt engineering, context engineering, prompt ...

Machine Learning solutions using Azure Databricks, Azure Machine Learning and Azure AI Foundry Develop scalable AI applications using modern orchestration frameworks including LangChain and LangGraph Build agentic AI workflows and enterprise AI services using retrieval, tool-calling and orchestration patterns Deliver end-to-end AI/ML pipelines covering experimentation … Machine Learning and ideally Azure AI Foundry Good understanding of MLOps and LLMOps Excellent Python engineering skills with experience using frameworks such as LangChain, LangGraph, PyTorch and Pydantic Experience with RAG, vector search, embeddings, prompt engineering and enterprise retrieval architectures Experience building AI solutions within document-heavy environments such ...

into production environments Implement and optimise retrieval, prompting, tool-calling, and orchestration patterns for enterprise AI applications Develop AI services and workflows using LangChain, LangGraph, or similar frameworks for multi-step reasoning and orchestration Enable standardised tool and context integration across AI applications using MCP or similar interoperability patterns Monitor … LLMOps practices, including deployment, monitoring, scaling, evaluation, governance, and cost control Experience building agentic AI workflows and orchestration patterns using frameworks such as LangChain, LangGraph, or similar Understanding of Model Context Protocol (MCP) or equivalent approaches for standardised integration between AI applications, tools, and enterprise data sources Strong Python engineering ...

influence how AI capabilities are delivered across the organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop … deployment and 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 ...

work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, LangChain, LangGraph, LangSmith, and Fleet are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies ...

build partnerships with colleagues at various levels and across multiple locations.Proven experience building and deploying multi-agent systems, including use of orchestration frameworks (e.g. LangGraph, ADK), agent design patterns, and production-grade system integration.\n Preferred Qualifications, Capabilities, and Skills \n \n Advanced degree (Master's or Ph.D.) in Data ...

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where reliability and security matter more than speed to market. Key Responsibilities Architect, build, and optimise multi-agent AI systems using frameworks such as LangGraph, Haystack, or equivalent Integrate LLMs and vision-language models into agent workflows for reasoning, search, summarisation, and task execution Deploy AI systems into cloud … Active SC clearance Commercial experience building multi-agent or agentic AI systems in production Strong Python skills and hands-on experience with LLM frameworks (LangGraph, LangChain, Haystack, or similar) Experience deploying AI/ML systems into production environments Familiarity with Docker, Git, and cloud platforms (AWS preferred) Understanding of secure ...

Job Description Job Description \n hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n You could be just the right applicant for this job Read all associated information ...

analytical workloads at scale - LLM/AI features shipped to production users, covering evals, guardrails, prompt versioning, and cost control - LangChain and LangGraph for orchestration - Data modelling for fund mechanics, including cash flows, NAV, performance metrics, and position-level credit data - AWS in production: IAM, S3, RDS, and containerised workloads … Staff Engineer, Principal Engineer, Private Credit, Private Markets, Capital Markets, AI Platform, Analytics Platform, Python, TypeScript, Node.js, React, Next.js, NestJS, FastAPI, PostgreSQL, pgvector, LangChain, LangGraph, LiteLLM, AWS, LLM, Fintech, Greenfield, Remote, Hybrid/Remote, Contract ...

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 … Implement complex orchestration workflows Build scalable AI microservices Define AI governance patterns Troubleshoot production AI solutions Technologies Azure OpenAI Azure AI Foundry Semantic Kernel LangGraph MCP Azure AI Search Event-driven architectures ...

responsible for Defining engineering standards for enterprise AI Driving adoption of Agentic AI across multiple engineering teams Designing production-grade RAG architectures Establishing LangGraph and LangChain implementation patterns Designing scalable vector database retrieval strategies Leading best practice across MLOps, CI/CD and model deployment Improving AI testing, evaluation … guardrails and hallucination mitigation Influencing senior engineering stakeholders without direct line management We're looking for someone with deep experience in: Python AWS LangChain LangGraph Retrieval Augmented Generation (RAG) Vector databases MLOps Production Machine Learning platforms AI governance and engineering best practice PyTorch, TensorFlow or Scikit-learn More important than ...

mobile & fixed telecommunications environments, network programmability, APIs, scalable AI architectures, and token-efficient agentic systems using modern AI frameworks (Google Vertex AI or similar, LangGraph, LangChain). Your Profile Required Experience Experience in telecom/mobile network architecture including hands-on experience developing and deploying autonomous network use cases Network … Practitioner certification (or equivalent) Or equivalent advanced TMForum training in DigitalOps and Autonomous Networks Nice-to-Have Qualifications Experience with Generative AI frameworks (LangChain, LangGraph, LlamaIndex, AutoGen) Exposure to Google Vertex AI or similar cloud solutions, Gemini APIs, BigQuery or similar platforms Knowledge of network telemetry optimization (gRPC telemetry, streaming ...

agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation … Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate ...

ability to write production-quality code Commercial or substantial project experience working with Large Language Models Experience with LangChain and/or LangGraph Familiarity with machine learning frameworks, model deployment, and inference technologies Experience using Python data and matrix manipulation libraries such as NumPy and pandas This company highly values … integrate new machine learning models into advanced commercial software products Work with Large Language Models and modern AI orchestration frameworks, including LangChain and LangGraph Collaborate with Software Engineers, Machine Learning specialists and Security Researchers Take projects from rapid prototyping and experimentation through to production implementation Optimise machine learning models ...

Head of Artificial Intelligence (Gen-AI) | Manchester | £(Apply online only)k + Car Allowance + Bonus Scheme This is a once-in-a-career opportunity for an exceptional technical leader to take ownership of the ...

Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering ...

this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers … widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power ...