26 to 50 of 65 CrewAI Jobs in the UK

professional servicesDesirablePrevious forward deployed, solutions engineering or technical leadership experienceCommercial awareness and product thinking, including scoping and estimating technical workAgent frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or the OpenAI and Anthropic agent SDKsLLM evaluation and observability tools such as Langfuse, LangSmith, Arize or BraintrustDeeper ontology or knowledge graph ...

ability to apply them to real product challengesExperience with agentic AI frameworks and libraries in Python, such as AWS Bedrock AgentCore, LangChain/LangGraph, CrewAI, or the OpenAI Agents SDK, with an understanding of agent design patterns including tool use, orchestration, memory, and multi-agent workflowsAbility to own the full ...

with: AI application patterns Retrieval-Augmentation Generation (RAG) prompt engineering tool calling agentic workflows evaluation of LLM-based outputs Frameworks and orchestration LangChain LangGraph CrewAI Models and platforms OpenAI and/or Azure OpenAI Vector search and retrieval Weaviate or equivalent vector database technology Data and model support selecting ...

tools. · AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens. Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK. WHAT YOU'LL LOVE ABOUT WORKING HERE We’re a fantastic team of bright, ambitious people who love to bring ...

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 with ...

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 with ...

Azure) Desirable: Experience with prompt engineering, Retrieval-Augmented Generation (RAG), and graph databases Familiarity with multi-agent LLM systems and agentic platforms (e.g., AutoGen, CrewAI), and experience deploying LLM-based applications Experience with tools such as LangChain, LangSmith, or Chainlit Exposure to event-driven architectures, asynchronous processing, and tools like ...

+ semantic) Performance optimisation for large-scale retrieval workloads Software Engineering Strong Python development experience within production environments. Experience with: LangChain LlamaIndex LangGraph or CrewAI AWS SDK (Boto3) PyPDF Amazon Textract Unstructured.io Experience implementing CI/CD pipelines and deployment automation. Governance & Regulated Environments Experience delivering solutions within highly regulated ...

through testing, automation, documentation, and continuous improvement.AI-Native Software DevelopmentBuild production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies.Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily engineering practices.Identify manual or repetitive engineering ...

with Generative AI and agentic systems - LLM-powered application design, retrieval-augmented generation (RAG), and at least one agent framework (e.g. LangGraph, LangChain, LlamaIndex, CrewAI).Experience designing and building data and context pipelines for AI systems -=embedding pipelines, vector databases, and semantic search over structured commerce data. Hands-on delivery ...

testing, automation, documentation, and continuous improvement. AI-Native Software DevelopmentBuild production-grade AI agents and agentic workflows using AWS Bedrock, Anthropic/Claude, LangGraph, CrewAI, or comparable technologies. Apply an AI-first mindset to software development by incorporating AI-assisted tools and automation into daily engineering practices. Identify manual ...

using tools. Command of agentic design patterns (e.g., ReAct, planning, reflection, tool use, human-in-the-loop) and agent frameworks such as LangGraph, CrewAI, MAF, the OpenAI Agents SDK, and Google’s Agent Development Kit (ADK). Proven ability to architect reliable agentic workflows with memory, state management, orchestration … used in AI development, such as Python, TensorFlow, PyTorch, or similar tools, along with modern LLM/agent frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen). Experience with cloud AI platforms (e.g., Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI), vector databases (e.g., Pinecone, Weaviate, Chroma, pgvector ...

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 automation tooling such ...

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 … 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 with ...

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 … 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 with ...

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 … 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 with ...

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 … 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 with ...

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 … 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 with ...

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 … 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 with ...

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 … 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 with ...

shipping, and communicating trade-offs clearly.A pragmatic, low-ego style suited to a distributed, async-first team.Bonus PointsExperience with agent frameworks such as LangGraph, CrewAI, Claude Agent SDK, or similar.Agentic retrieval experience, including knowledge representation.Practical Elasticsearch experience.Additional Information - We Take Care of Our PeopleAs a distributed company, diversity drives ...

platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and were excited ...

qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques ...

architectures: orchestration, tool use, memory, routing, guardrails and agent-to-agent communication. Production experience with agent frameworks such as LangGraph, Microsoft Foundry, AWS Bedrock, CrewAI, AutoGen, or comparable orchestration tooling, plus MCP or similar protocols. Strong grounding in evaluation, observability and reliability for AI systems: eval suites, tracing, guardrails, monitoring ...

architectures: orchestration, tool use, memory, routing, guardrails and agent-to-agent communication. Production experience with agent frameworks such as LangGraph, Microsoft Foundry, AWS Bedrock, CrewAI, AutoGen, or comparable orchestration tooling, plus MCP or similar protocols. Strong grounding in evaluation, observability and reliability for AI systems: eval suites, tracing, guardrails, monitoring ...