76 to 100 of 134 LangGraph Jobs in London

modeling principles. Deep expertise in Python and Java. Proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Experience with Kubernetes (EKS) and cloud-native architectures. Proven track record building scalable backend systems and APIs. Experience mentoring engineers and contributing to architectural ...

certification in software engineering conceptsExperience as a hands-on practitioner developing production AI/ML solutionsFamiliarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPTDeep knowledge and experience in machine learning and artificial intelligenceExpertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer ...

software engineering concepts Experience as a hands-on practitioner developing production AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge ...

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 ...

experience: Hands-on experience building with LLMs in production, including agents, RAG pipelines, MCPs, tool-use, multi-step workflows. You've used frameworks like LangGraph, Pydantic AI or similar, and you know when to use them and when to throw them awayStrong Python engineering skills. Clean, testable, production-quality codeExperience ...

language processing, speech analytics, retrieval-augmented generation (RAG) and vector search. Experience with workflow and LLM orchestration frameworks, such as Conductor, Kestra, LangChain or LangGraph, including event-driven automation triggered by monitoring and observability signals. Understanding of AI control-plane design, including agent permissions, oversight and human-in-the-loop ...

language processing, speech analytics, retrieval - augmented generation (RAG) and vector search. Experience with workflow and LLM orchestration frameworks, such as Conductor, Kestra, LangChain or LangGraph, including event-driven automation triggered by monitoring and observability signals. Understanding of AI control-plane design, including agent permissions, oversight and human-in-the-loop ...

communities, and at industry events- Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches (e.g., Strands Agents SDK, LangGraph, CrewAI)Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based ...

matrix environment and build partnerships with colleagues at various levels and across multiple locations. Hands-on experience with agentic frameworks and orchestration (e.g., LangGraph, Google ADK or equivalent). Preferred Qualifications, Capabilities, And Skills Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related ...

building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education. Understanding of equity and diversity issues. Essential Qualifications ...

Large Language Models Experience implementing fine-tuning, reinforced learning alignment and evaluation techniques within an LLM training pipeline. Familiarity with agentic frameworks such as LangGraph or similar. Willingness to get hands dirty reading many, many historical operational cases. Working knowledge of Java. We’re people without borders — without judgement ...

determined by factors including job-related skills, experience, and relevant education or training. Preferred qualifications: Experience developing autonomous agents using frameworks like Google ADK, LangGraph, and Semantic Kernel. Expertise in enterprise RAG optimization, hybrid vector retrieval, semantic search, ranking engines, and Vertex AI Search. Deep knowledge of tool execution patterns ...

travel, transport, marketplaces, or similarly complex digital platformsOur technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic and BraintrustMore information: Enjoy ...

field, or equivalent experience. Useful to have, none required Financial services or another regulated industry, where security diligence can decide whether a customer buys LangGraph, MCP and graph-backed retrieval AWS at production scale with Kubernetes and infrastructure as code Taking an enterprise platform from pilots to broad deployment Daily ...

background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present it to relevant stakeholders ...

harness components such as guardrails, retry logic, state handling, and context management. Nice to have: Experience with agent and evaluation frameworks (e.g., LangChain, LangGraph, AutoGen, lm-evaluation-harness, Promptfoo, or Ragas). Exposure to running evaluation pipelines or agent workloads within secure, enclave, or Kubernetes environments. Benefits: Our benefits ...

Agents" are both powerful and predictable. Technical Stack Python LangChain AutoGen Pinecone Core Responsibilities Design and implement scalable agentic architectures using AutoGen and custom LangGraph implementations. Optimize RAG (Retrieval-Augmented Generation) pipelines for low-latency and high-relevance responses across massive datasets. Develop robust evaluation frameworks to measure LLM reliability ...

software engineering concepts Experience as a hands-on practitioner developing production AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge ...

datasets that power analyst-led deep dives, stakeholder self-service and agentic data analysisBuilding tools, such as python packages, and AI-embedded workflows using langgraph that help analysts and stakeholders work faster and more confidentlyApplying software engineering practice to the analytics stack, including CI/CD, containerisation, Linux tooling, testing ...

matrix environment and build partnerships with colleagues at various levels and across multiple locations. Hands‐on experience with agentic frameworks and orchestration (e.g., LangGraph, Google ADK or equivalent). Preferred Qualifications, Capabilities, and Skills Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related ...

engineering organizations. Experience in either system design or reading code (e.g., Java, C++, Python). Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI). Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments. Preferred qualifications: Experience diving deep ...

have: Experience managing teams that built AI or ML platforms used by multiple teams. Experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK, or Temporal. Hands‐on familiarity with GenAI evaluation and observability, prompt or model lifecycle, retrieval systems, multi‐provider routing or open‐model ...

agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar AI frameworks Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector Take GenAI POCs into production and scale them Build APIs, microservices … experience Experience building APIs, microservices and backend applications Hands-on experience with LLMs, Generative AI and RAG Experience with AI frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience ...

agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph, CrewAI or similar AI framework Work with vector databases including Pinecone, Qdrant, ChromaDB and PGVector Take GenAI POCs into production and scale them Build APIs, microservices … experience Experience building APIs, microservices and backend applications Hands-on experience with LLMs, Generative AI and RAG Experience with AI frameworks such as LangChain, LangGraph or CrewAI Experience with vector databases and semantic search Experience with OpenAI, Anthropic, Mistral, Llama or similar Good software engineering, testing and Git practices Experience ...

Responsibilities Design, build and deploy Generative AI and Agentic AI solutions from prototype to production Implement multi-agent orchestration patterns using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or OpenAI Agents SDK Develop the orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling and resumption of long … workflows Strong working knowledge of LLM capabilities, including prompt design, structured outputs, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel) Proven experience with RAG implementations, embeddings and vector database integrations Familiarity with stateful or long-running systems, including checkpointing ...