9 of 9 CrewAI Jobs in the South East

etc.) and vector databases (Pinecone, Weaviate, FAISS etc.). Experience in architecting 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 Design AI interventions (GenAI, Agentic AI, ML) for application support, monitoring, and business ops. Good understanding of Responsible AI principles More ❯

etc.) and vector databases (Pinecone, Weaviate, FAISS etc.). Experience in architecting 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 Design AI interventions (GenAI, Agentic AI, ML) for application support, monitoring, and business ops. Good understanding of Responsible AI principles More ❯

etc.) and vector databases (Pinecone, Weaviate, FAISS etc.). Experience in architecting 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 Design AI interventions (GenAI, Agentic AI, ML) for application support, monitoring, and business ops. Good understanding of Responsible AI principles More ❯

focus on AI 1+ years of hands-on experience building applications with Large Language Models [LLMs] Strong proficiency in Python and experience with modern LLM frameworks [e.g., LangChain, LangGraph, CrewAI] Proven experience with the full ML Ops lifecycle: building, testing, deploying, and monitoring models in production [using tools like Docker, Kubernetes, MLflow, Weights & Biases]. Solid understanding of vector databases More ❯

focus on AI 1+ years of hands-on experience building applications with Large Language Models [LLMs] Strong proficiency in Python and experience with modern LLM frameworks [e.g., LangChain, LangGraph, CrewAI] Proven experience with the full ML Ops lifecycle: building, testing, deploying, and monitoring models in production [using tools like Docker, Kubernetes, MLflow, Weights & Biases]. Solid understanding of vector databases More ❯

focus on AI 1+ years of hands-on experience building applications with Large Language Models [LLMs] Strong proficiency in Python and experience with modern LLM frameworks [e.g., LangChain, LangGraph, CrewAI] Proven experience with the full ML Ops lifecycle: building, testing, deploying, and monitoring models in production [using tools like Docker, Kubernetes, MLflow, Weights & Biases]. Solid understanding of vector databases More ❯

cloud platforms (AWS, GCP, or 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 Celery or Kafka Familiarity with More ❯

cloud platforms (AWS, GCP, or 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 Celery or Kafka Familiarity with More ❯

skills, presenting to an audience in both formal and informal situations, confident and respectful of the organisation’s values, with demonstrable skills in influencing and negotiation Desirable Knowledge of CrewAI, UiPath, Semantic Kernel, Co-Pilot, GPT-models Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work More ❯