51 to 75 of 134 LangGraph Jobs in London

Python development Hands‐on Agentic AI/AI Agent development LLMs/Generative AI RAG (Retrieval-Augmented Generation) OpenAI/GPT Anthropic Claude LangChain, LangGraph, AutoGen, CrewAI or similar FastAPI/API development AI orchestration, tool calling and guardrails Strong Investment Banking/Capital Markets experience Excellent communication and stakeholder ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would be particularly relevant. This is a cutting-edge opportunity which will shape how AI is securely adopted across a large-scale global organisation. Hybrid ...

experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands‐on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare ...

experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare ...

Experience building microservices and APIs Experience with elastic compute, NoSQL databases, and messaging queues Proficiency working with large language models and building agents with LangGraph Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent ...

applications, including LLM orchestration, retrieval augmented generation, tool and function calling, MCP, memory, evaluation and agent harnesses, in Python or TypeScript. Demonstrable knowledge of Langgraph agentic development frameworks. A track record of implementing or evolving engineering standards, DevSecOps practice and a secure development lifecycle, and integrating with a central ...

automation capabilities. Required Qualifications, Capabilities, and Skills: Formal training or certification in software engineering concepts. Familiarity with agentic workflows and frameworks (e.g., LangChain, LangGraph, Auto-GPT). Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices, system design, application development, testing ...

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 ...

build scalable, production-ready code. Agentic AI Experience: Proven, hands‐on experience building multi‐agent workflows or complex LLM orchestration pipelines (e.g. LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen). Multimodal AI Knowledge: Experience working with Vision‐Language Models (VLMs) and an understanding of how to process video, images, and audio ...

beneficial but not required. Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen. Familiarity with AI‐assisted coding tools such as Claude Code, Codex, or similar, with the ability to validate and understand AI-generated code. ...

Platform : Power Apps (Canvas/Model‐driven), Power Automate Cloud/Desktop, Dataverse ; Dynamics 365 integration. Agentic AI : design LLM agents with LangChain/LangGraph/AutoGen ; retrieval strategies; vector search . Programming: Python and/or .NET; SQL ; REST/Graph; eventing; strong integration patterns. CI/ ...

security Practical cloud native experience (AWS preferred), including containers and Kubernetes Preferred Qualifications, Capabilities, and Skills: Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI Experience with Databricks, MLflow, and Delta Lake or Apache Iceberg Exposure to model serving on Kubernetes ...

sidecar patterns, with hands-on experience applying security at multiple layers Preferred Qualifications, Capabilities, and Skills: Experience with agent frameworks and protocols (Google ADK, LangGraph, MCP, A2A, AG-UI) Experience with Databricks, MLflow, Spark, and Delta Lake or Apache Iceberg Experience serving models on Kubernetes, including GPU workloads and fine ...

influence across organizational boundaries and communicate with executive audiences Preferred qualifications, capabilities, and skills Experience with agent frameworks and protocols (MCP, A2A, Google ADK, LangGraph) and agent evaluation practices Experience with Databricks, MLflow, and model serving on Kubernetes in AWS Experience delivering AI systems through model risk management or equivalent ...

Agentic AI development; applied experience with frameworks like LangChain, LlamaIndex, or equivalents. A proven track record of architecting multi-agent systemsusing frameworks likeGoogle ADK, LangGraph, AutoGen or CrewAI. This includes hands-on experience withplanning/reasoning,memory systems,MCP and Vector DBs Practical knowledge of LLMs and their application within ...

experience building, deploying, and scaling LLM-powered applications, including retrieval, tool use, workflow orchestration, state management, structured outputs, and evaluation, using frameworks such as LangGraph, Semantic Kernel, LlamaIndex, or equivalentApply practical knowledge of prompt and context design, embeddings, vector and keyword search, reranking, model selection, and optimization for quality, latency ...

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 ...

integration experience. Working knowledge of MCP (Model Context Protocol), REST APIs, and microservices architecture. Cloud platform experience. Experience with agentic frameworks such as LangChain, LangGraph, AutoGen, or similar. Strong analytical skills — the ability to understand a business problem first, then apply AI tools to accelerate solution design. Strong business understanding ...

clinical data. Experience in healthcare, life sciences or another regulated or safety-sensitive domain. Familiarity with FastAPI, Pydantic, MongoDB, Elasticsearch, hybrid or vector search, LangGraph or similar agent frameworks. Experience with Azure or AWS, containers, on-premise deployments, multi-tenant systems, privacy controls or audit logging. Experience with embeddings, fine ...

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 ...

artifact rather than a prompt**The reference stack**The reference technology stack for this role is our supported paved road: self-hosted LangSmith and LangGraph Platform as the agent runtime and evaluation plane, model providers behind a swappable gateway seam, PostgreSQL with pgvector plus ClickHouse and S3-compatible object storage ...

experience building LLM‐powered systems in production, including agents, RAG pipelines, MCPs, tool‐use and multi‐step workflows. Familiarity with frameworks such as LangGraph, Pydantic AI or similar. Strong Python engineering skills and ability to produce clean, testable, production‐quality code. Experience with context engineering: retrieval strategies, prompt construction, information ...

tool calling, agent-based workflows and human review. Strong Python and SQL skills. Experience with relevant development tools and libraries, which could include LangChain, LangGraph, Pydantic, NumPy and FastAPI. The ability to work with APIs, JSON, version control and lightweight automation or prototyping tools. The ability to translate operational requirements ...

industry IT systems Preferred Qualifications, Capabilities, and Skills: Deep experience with agent protocols and frameworks such as MCP, A2A, AG-UI, Google ADK, or LangGraph Experience with agent payment and mandate patterns, or regulated workflows requiring auditable LLM output Experience with OpenFGA or OPA/Rego, service mesh technologies ...