17 of 17 Permanent CrewAI Jobs in England

MLflow, Kubeflow, Azure ML, Vertex Pipelines, Airflow or Google ADK Hands-on experience with Generative and Agentic AI frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar ...

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 ...

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 ...

microservices architectures React and TypeScript front end development experience Familiarity with Next.js or Vite Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents is beneficial Experience with ...

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 ...

microservices architectures React and TypeScript front end development experience Familiarity with Next.js or Vite Experience with Generative AI frameworks such as LangChain, LangGraph or CrewAI Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents is beneficial Experience with ...

Deep understanding of modern AI/ML stacks - PyTorch or TensorFlow, Hugging Face, LLM serving infrastructure - and strong familiarity with agentic frameworks (Strands, LangGraph, CrewAI) and how they manage complex, stateful workflows - Strong technical foundation in Python and at least one of Java, Go, or TypeScript, with deep understanding ...

Proven experience designing and productionising RAG pipelines and agentic AI architectures Hands‐on delivery of agent‐based AI systems with orchestration tools (e.g., LangChain, CrewAI) in production. Strong Python engineering skills with solid testing, optimisation, CI/CD, and code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus ...

ability to explain complex technical concepts to non-technical stakeholders. What Would Make You Stand Out: Experience with LLM orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel). Exposure to semantic layer technologies (e.g., dbt metrics layer, Cube, AtScale) or knowledge graph tooling. Familiarity with BI platforms (e.g., Qlik ...

technology experience such as Resource Augmented Generation (RAG), knowledge graphs, advanced prompting, cloud based AI services such as Azure OpenAI, agent frameworks e.g. CrewAI, MCP • Software engineering experience. A lot of AI solutions are built in Python so a background in software engineering would be advantageous • Working with agile development ...

experience for bespoke services Nice to Haves B2C mobile app experience Node.js development alongside Python Vector databases such as Chroma and embedding pipelines LangChain, CrewAI, or similar orchestration frameworks Practical security and data-privacy awareness Experience using Linear or similar planning tools Experience with Gemini and/or NanoBanana ...

LLMs (e.g., GPT, LLaMA, Mistral, Claude). Skills in fine-tuning, prompt engineering, and building RAG pipelines. Familiarity with Agent Frameworks (LangChain, LlamaIndex, CrewAI, AutoGen). Knowledge of reinforcement learning methods or tools (Q-learning, policy gradients, RLlib). Why Join Us Be part of a cutting-edge AI communitydriving ...

frameworks where needed. Build and orchestrate multi-agent systems using Dataiku's Visual Agents (simple and structured), as well as code-based frameworks (LangGraph, CrewAI, Claude Agent SDK, OpenAI Agents SDK) as appropriate. Integrate and optimize LLM APIs across providers (OpenAI, Anthropic, Google Gemini, AWS Bedrock, Azure, open-source models … build, deployment, and handover. Agent & Tool Development Develop autonomous and semi-autonomous AI agents, using Dataiku's Agent Builder, custom Python-based architectures (LangGraph, CrewAI, Claude Agent SDK, etc.), or a combination of both. Exercise judgment on when to leverage platform capabilities and when to build custom solutions. Design ...

delivery of AI-native programs - from architecture through production deployment Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets Define agent topology: tool routing, memory strategy, state machines, fallback handling Agentic Coding … before the hype catches up Contribute to internal knowledge bases, reusable frameworks, and accelerators Technical Skills Required Proven experience of: Agent Orchestration: LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools: Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores: Chroma, Weaviate, Pinecone, know where RAG breaks LLM APIs ...

alongside Python for services or integrations. App Store/Google Play release experience. Experience with vector databases (e.g., Chroma) and embedding pipelines. LangChain or CrewAI for orchestration; MCP servers for integrations. Security hygiene (secrets, permissions, least-privilege) and practical data-privacy basics. Planning & execution in Linear (or similar). Tools … Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. Infrastructure: AWS (serverless functions), Docker (primarily for custom MCPs). Competencies & Behaviours Communicates clearly with technical ...

scale a commercial agent ecosystem , enabling smarter, faster decision-making across multiple domains. Tech Stack Snowflake | Python | OpenAI/Claude APIs | LangGraph/CrewAI | dbt | SQL What we’re looking for Experience building production AI/multi-agent systems (LangChain, LangGraph, CrewAI, AutoGen, etc.) Strong Python engineering skills (clean, production ...

Senior AI Engineer | LLMs, Agentic Systems, Python, LangGraph | £70k-£90k + Bonus + Equity | Cambridge (Hybrid) Build AI systems that help bring life-saving drugs back to patients. This is an opportunity to join a ...