26 to 50 of 134 LangGraph Jobs in London

Vertex AI). Generative AI: LLM fine-tuning (LoRA/QLoRA), RAG architecture design, vector databases (Pinecone, Milvus, Weaviate), and agentic frameworks (LangChain, LangGraph, Semantic Kernel). Data pipelines: data lake/lakehouse architectures, ETL/ELT, and data quality/lineage tooling that feed AI systems. Automation, Orchestration & Observability ...

vector databases, knowledge graphs and prompt engineering Experience building multi‐step LLM workflows and agentic systems using frameworks (e.g. SDK, Strands, Claude Agents SDK, LangGraph, etc.) or custom implementations where needed Strong Python (or other modern programming language) proficiency with production API/service development experience and cloud platform knowledge ...

distributed systems, microservices, or complex backend APIs that support AI/agent workflows. Solid expertise with systems that integrate AI models, agent frameworks (e.g., LangGraph, Agent Harness or platform-specific tooling), vector databases, and large context reasoning services. Understanding of agent orchestration patterns, state management, and asynchronous workflows. Experience with ...

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 ...

projects. using evidence-based methods to assess impact/improve scalability. Expertise across orchestration/governance/development tools such as LangChain/LangGraph/Azure Foundry/Azure AI/MCP/Python/vector databases. Experience providing effective 1st/2nd/3rd line support across multiple business ...

Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI). Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic ...

Agentic Builder Experience: Direct hands-on experience building, prototyping, or solutioning with frontier LLMs and modern AI tools - including OpenAI, Claude, LangChain/LangGraph, Cursor , or multi-agent orchestration frameworks. Agent Interoperability & Open Standards: Experience with Retrieval-augmented Generation (RAG), prompt engineering, background/conversational agents, voice AI integrations ...

loops, tool-use, planning, and memory patterns. Hands-on experience (or strong aptitude to learn) building or integrating agents using frameworks such as LangChain, LangGraph, AutoGen, CrewAI , or the Model Context Protocol (MCP) . Ability to design and expose backend services as tools/functions callable by AI agents (tool ...

systems in production Strong stakeholder communication, translating architecture into business outcomes for senior stakeholders Preferred Skills and Experience Familiarity with agentic AI frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel) and their production deployment Understanding of LLM governance: data privacy, guardrails, and responsible-use controls Track record defining and enforcing architectural governance ...

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 ...

machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda, ECS, EKS or SageMaker Strong understanding of RAG, agentic AI and multi-agent architectures Experience ...

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 ...

Solid understanding of LLMs, Prompt engineering/tuning, Vector DBs (AstraDB, Pinecone, Weaviate etc), RAG pipelines (LlamaIndex, Haystack) and Agent/Workflow Orchestration (LangChain, LangGraph, CrewAI) Knowledge of SLM Finetuning and Distillation is big advantage. Experience and knowledge of Agentic development platforms and experience building and delivery enterprise agentic solutions ...

production environments Hands‐on experience designing and deploying agentic AI solutions in a production environment — non-negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management ...

real business impact- Deep hands-on coding expertise, particularly in Python and modern AI/ML frameworks. Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, or equivalent is highly valued- Strong cloud-native architecture expertise across platforms such as AWS, Databricks, and Kubernetes, with a demonstrated ability to design ...

production environments Hands‐on experience designing and deploying agentic AI solutions in a production environment — non‐negotiable Demonstrated experience with agentic orchestration frameworks: LangGraph, CrewAI, AutoGen, or equivalent — at production depth, not tutorial level Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code: provider abstraction, token management ...

rather than pilots. Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation. Experience with workflow and process ...

Capabilities, and Skills Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock 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 Experience with containerization Knowledge of agent ...

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 ...

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 ...

driven architectures Experience with RAG, vector databases and modern AI frameworks Exposure to AWS, Azure or GCP Desirable Neo4j or graph database experience LangChain, LangGraph or LlamaIndex Databricks, Snowflake or modern data platforms Agentic AI and AI platform engineering #J-18808-Ljbffr ...