1 to 25 of 45 Remote/Hybrid LangGraph Jobs in London

experiment tracking, observability, model lifecycle management. Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning ...

solutions. Proficient in observability, performance optimization, security, and production reliability. Knowledge of Responsible AI, AI governance, compliance, and model risk management. Experience with LangChain, LangGraph, LlamaIndex, CrewAI, Semantic Kernel, or similar frameworks. Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or pgVector. Experience implementing observability and monitoring solutions ...

Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents SDK, Google ADK, RAG, retrieval augmented generation, MCP, LangSmith, TruLens, prompt engineering, Docker, Kubernetes, AKS, GCP, Azure DevOps, GitHub Actions, PostgreSQL ...

including version control, automated testing, and monitoring. Experience building or productionising agentic AI systems—tool use, orchestration, multi‐step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar). Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation ...

ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven experience applying Agile delivery, DevOps, MLOps, and LLMOps practices to enterprise AI programmes. Strong cloud architecture experience across Azure ...

/function calling, structured outputs, and model evaluation. Familiarity with tools or frameworks such as Git, REST APIs, SQL, Docker, LLM APIs, LangChain, LangGraph, LlamaIndex, or cloud AI services. Foundational understanding of responsible AI concepts, including data privacy, model limitations, human oversight, and safe AI deployment. Strong problem‐solving skills ...

production use cases including classification, summarisation, code generation, and autonomous decision-making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns. Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps ...

grade agent connectivityDevelop RAG-based solutions, including GraphRAG and Agentic RAG, aligned with client requirementsWork with agent frameworks and SDKs such as Pydantic AI, LangGraph/LangChain or Microsoft agent platformsDefine evaluation strategies for agentic systems using automated and human-in-the-loop methodsImplement telemetry and observability solutions to monitor ...

APIs, services, and data platforms. Strong and effective communication skills with experience engaging directly with business stakeholders. Desirable Experience Experience with Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks. Experience with vector databases, RAG architectures, and enterprise search solutions. Experience with MLOps, CI/CD, DevSecOps, and model lifecycle ...

systems through APIs, services, and data platforms. Strong and effective communication skills with experience engaging directly with business stakeholders. Experience with Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, or similar frameworks. Experience with vector databases, RAG architectures, and enterprise search solutions. Experience with MLOps, CI/CD, DevSecOps, and model lifecycle ...

Proven ability to manage priorities well in a hybrid working environment Preferred criteria: Experience with LLM and agent frameworks (PydanticAI, DSPy, GEPA, LangChain/LangGraph, provider agent SDKs or similar), and an informed view of when to use them and when not Experience with evaluation and observability tooling such ...

using frameworks such as Next.js or Vite.* AI and Agentic Systems: Hands-on experience designing and deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI ...

hear from you! Proficiency in at least one programming language. I.e Python, C#, JavaScript, Kotlin, Java, Go.. Experience with Gen AI tools (e.g LangGraph, CrewAI, Hugging Face, OpenAI APIs etc) Experience in building and optimising systems for performance, scalability, and reliability Understanding of ML fundamentals (training, evaluation, deployment ...

multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency ...

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 ...

wider CDO organisations, and Internal Audit. Technologies You’ll Work With LLMs and agentic frameworks RAG architectures AI agents and orchestration (e.g. LangChain/LangGraph) Python and modern data engineering Snowflake and governed semantic layers AWS/GCP cloud services Vector databases Data pipelines and MLOps tooling Business intelligence ...

work with or learn GoHands-on experience building and operating production AI applications using large language models and agentic frameworksUnderstanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt designExperience creating reliable AI agents through evaluation, guardrails and token and cost optimisationProficiency with Docker, Kubernetes and isolated ...

with or learn Go Hands-on experience building and operating production AI applications using large language models and agentic frameworks Understanding of RAG, MCP, LangGraph or similar technologies, including tool integration and prompt design Experience creating reliable AI agents through evaluation, guardrails and token and cost optimisation Proficiency with Docker ...

Retrieval Augmented Generation (RAG), tool and function calling, MCP, memory, evaluation and agent harnesses. Strong Python software engineering experience. Demonstrable knowledge and experience with LangGraph and agentic development frameworks. Experience implementing or evolving engineering standards, DevSecOps practices and secure development lifecycles . Strong understanding of CI/CD platforms, pipelines ...

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 ...

GenAI and agentic systems not just familiarity with the concepts, but active experimentation or delivery experience Practical experience with LLMs, agentic frameworks ("e.g. LangGraph, CrewAI, or similar"), or prompt engineering in real projects Direct experience with MCP, or comparable agent tool-serving and tool-calling patterns Working knowledge ...

/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 ...

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 ...

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 ...