Crew AI Engineer

Primary 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