1 to 25 of 71 Permanent CrewAI Jobs in London

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 ...

DevelopmentExperience developing React applications using TypeScript.Familiarity with frameworks such as Next.js, Vite, or similar.Generative AI TechnologiesExperience with Generative AI frameworks such as LangChain, LangGraph, CrewAI, Vercel AI, or equivalent tools.Practical experience working with Large Language Models (LLMs), including platforms such as OpenAI, Anthropic, Mistral, Llama, or similar.Familiarity with tools that ...

Agent Architecture – design of autonomous and multi‐agent systems, agentic design patterns (ReAct, planning, reflection, tool use, human‐in‐the‐loop), and frameworks (LangGraph, CrewAI, MAF, OpenAI Agents SDK, Google ADK). Proven ability to architect reliable agentic workflows with memory, state management and safe multi‐step task execution ...

Pinecone, Weaviate, FAISS).•Experience in designing and scaling GenAI chatbots.•Experience in Agentic AI solutions. Good knowledge of Agentic AI frameworks (LangGraph, AutoGen, CrewAI) and orchestration tooling (MCP Servers) in at least 1 Hyperscaler•Good understanding of Responsible AI principles•Ability to transform business problems into analytical solutions, fostering ...

Proficiency in at least one programming language (for example Python, C#, JavaScript, Kotlin, Java or Go)Experience with Gen AI tools (such as LangGraph, CrewAI, Hugging Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlowStrong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such ...

observability, model lifecycle management. Responsible AI : governance frameworks, guardrails, model safety, compliance, and auditability. Preferred but not required Orchestration frameworks : LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning and reasoning ...

built.Bonus PointsExperience with any of the following would be highly advantageous:AI gateways and model routingPrompt management platformsAI evaluation frameworksLangGraph, LangChain, LlamaIndex, DSPy, CrewAI or similar orchestration frameworksVector databases and semantic retrievalKnowledge graphs or document understanding systemsBuilding internal AI platforms used by multiple engineering teamsBenefitsWe’re a scaling start ...

production use cases including classification, summarisation, code generation, and autonomous decision-making.Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns.Excellent engineering skills and strong understanding of Software Development Lifecycle, GitOps, and modern DevSecOps practices.Excellent working ...

cases including classification, summarisation, code generation, and autonomous decision-making. Experience designing and deploying agentic systems using frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or equivalent — including multi-agent orchestration and tool-use patterns. Excellent engineering skills and strong understanding of Software Development Lifecycle , GitOps, and modern DevSecOps practices. Excellent ...

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 ...

version control, automated testing, and monitoring.DesirableExperience building or productionising agentic AI systems—tool use, orchestration, multi-step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar).Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation).Exposure ...

control, automated testing, and monitoring. Experience building or productionising agentic AI systems—tool use, orchestration, multi‐step reasoning, or agent frameworks (e.g. LangGraph, LangChain, CrewAI, AutoGen, or similar). Experience with GenAI/LLM systems in a production context (RAG, prompt orchestration, evaluation, guardrails, cost/latency optimisation). Exposure ...

running multi-agent systems in production, not just prototypes. Hands-on experience building agent harnesses and orchestration logic with frameworks such as LangGraph, CrewAI, AutoGen, or similar. Practical experience implementing guardrails and safety layers using tools such as Guardrails AI, NeMo Guardrails, or equivalent custom approaches. Experience with AI observability ...

related field, or equivalent professional experience; an advanced degree is a plus Preferred/Desirable Skills Experience with agent orchestration frameworks (eg LangGraph, AutoGen, CrewAI) and emerging tool-integration protocols (eg Model Context Protocol) Public sector or other regulated-industry delivery experience (financial services, healthcare, government) Relevant certifications (eg Azure ...

services such as OpenAI, Azure OpenAI, Anthropic Claude or equivalent.Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI or similar.Experience developing and deploying cloud-native applications within Azure, AWS or GCP.Strong understanding of APIs, system integration and modern software development practices.Excellent problem-solving ...

that came with running AI systems in production. Strong software engineering fundamentals are essential, particularly in Python, Java or TypeScript . Experience with LangGraph, CrewAI, AutoGen, LangChain or equivalent agentic frameworks is highly relevant, but we’re interested in depth of experience rather than simply familiarity with a particular tool. ...

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 schemas, function calling ...

code generation to rapidly prototype, iterate, and deploy production-grade AI components at high velocity. Proven experience designing multi-agent orchestration workflows (e.g., LangGraph, CrewAI) and utilizing MCPs to bridge the gap between LLM reasoning and enterprise data actions. ...

Computer Science, Engineering, or a related field, or equivalent professional experience These will help you succeed Experience with agent orchestration frameworks (e.g. LangGraph, AutoGen, CrewAI) and emerging tool‐integration protocols (e.g. Model Context Protocol) Public sector or other regulated‐industry delivery experience (financial services, healthcare, government) Relevant certifications (e.g. Azure ...

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 ...

apply them to real product challenges Experience 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 workflows Ability to own the full ...

apply them to real product challenges Experience 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 workflows Ability to own the full ...

apply them to real product challenges Experience 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 workflows Ability to own the full ...

Some experience working within engineering teams in agile, client-facing delivery contexts AI, data and technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms ...

such as Google Vertex AI Agent Builder, AWS Bedrock, or Azure OpenAIFamiliarity with agentic AI frameworks and tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are appliedExperience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part of a commerce or customer technology ...