About this role
Crew AI Engineer3Primary Skills -
• 8–12 years of experience in AI/ML or automation engineering. • Strong hands-on experience with CrewAI or other LLM orchestration frameworks like LangChain, AutoGen, or Semantic Kernel. • Proficiency in Python, including experience with async programming and API integration. • Deep understanding of LLMs (OpenAI, Anthropic, Mistral, etc.) and prompt engineering. • Design, develop and maintain Model Context Protocol (MCP) interfaces to support interoperability between simulation or AI components. • Familiarity with vector databases (e.g., Pinecone, FAISS, Chroma) and embeddings. • Strong understanding of RAG concepts. • Strong understanding of GIT • MCP server implementation experience • Experience building and deploying production-ready agent-based solutions. • Strong problem-solving skills and ability to translate business requirements into technical implementations. Secondary Skills -
• Good to have knowledge of React.js/java script/CSS/HTML/node.js. • Data base skills, Azure development and deployment experience, AWS development and deployment experience, Dynamo DB preferable