176 to 200 of 259 LangGraph Jobs in the UK

native discovery, conversational commerce and autonomous buying journeys. Experience with AI, orchestration and agentic development platforms such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock. Expertise in one or more areas of the commerce technology ecosystem, including: Commerce platforms (Salesforce Commerce Cloud, Commercetools, Shopify ...

search, LLM‐powered applications and brand or consumer‐facing agents Some exposure to AI and agentic platforms — such as Google Gemini, OpenAI Agent SDK, LangGraph, n8n, Microsoft Agent Foundry or AWS Bedrock Familiarity with one or more areas of the commerce technology ecosystem: commerce platforms (Salesforce Commerce Cloud, Commercetools, Shopify ...

connected/semantic AECDM.BIM Expertise: Building Information Modeling concepts, Revit families, or similar parametric modeling systems.AI Systems: RAG, agents/MCP, agentic orchestration (LangGraph, Semantic Kernel), LLM observability, and data governance/AI safety (PII, prompt-injection, content filtering).Domain-Specific AI for AEC: BIM/IFC extraction ...

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 ...

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 ...

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 ...

Automation & AI Capabilities: Working knowledge of workflow automation tools like n8n, along with exposure to commercial AI platforms, APIs, or LLM applications (e.g. RAG, LangGraph). Data Governance Discipline: Solid understanding of security, data handling, and GDPR principles in an engineering setting. Communication & Mindset: Clear communication skills, an ability ...

frameworks, Semantic search, Feature engineering, AI-ready data platformsTelecom Domain ExperienceNice-to-Have QualificationsExperience with Digital Twin platformsExperience with Knowledge Graph implementationsData Mesh architecturesLangChain, LangGraph and LlamaIndexVertex AI and GeminiVector databases (Pinecone, Weaviate, Milvus, Qdrant)Kubernetes and GKEAutonomous Network and AI-Ops programmesIf you're excited about this role ...

/computing background. Knowledge and understanding of UK Defence. Experience in one or more of the following technical disciplines: LLMs, RAG,Agentic AI(e.g. LangGraph). Computer Vision. AI for audio and speech. What we offer We offer a combination of mentoring and internal and external training opportunities, with specialist ...

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 ...

Python for application development, data ingestion, and ETL processes.* Practical experience building RAG pipelines and working with agent orchestration frameworks such as ADK, LangGraph, or LangChain.* Advanced SQL skills with the ability to design and optimize queries across large-scale datasets.* Solid understanding of Transformer architecture and its application within ...

with model governance, audit trails, release control, permissions, or safety‐sensitive AI workflows. Familiarity with OpenAI, Anthropic, Gemini, open‐source LLM/VLM stacks, LangGraph‐style orchestration, or similar agent frameworks. The candidate should understand enough vision and inspection context to collaborate well with ML and hardware specialists, while remaining ...

Python for application development, data ingestion, and ETL processes. Practical experience building RAG pipelines and working with agent orchestration frameworks such as ADK, LangGraph, or LangChain. Advanced SQL skills with the ability to design and optimize queries across large‐scale datasets. Solid understanding of Transformer architecture and its application within ...

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 ...

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 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 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 ...

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 ...

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 ...