Crew AI Engineer

On-siteSeniorAI Engineerposted 12mo ago

✦Role summaryAI-generated

This role focuses on designing and deploying advanced AI agent systems using CrewAI and related frameworks, with a strong emphasis on production-grade automation and interoperability through MCP interfaces. The engineer will bridge simulation components with AI workflows while optimizing LLM-based solutions for scalability and real-world deployment.

Skills required

Crewai LangChain Rag pipelines Vector db integration Async python Mcp protocol Llm prompt engineering Agent orchestration AI LLMs Python Prompt engineering RAG Git React Java CSS HTML Node.js Azure AWS

About this role

Crew AI Engineer3

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

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