Crew AI Engineer
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Before you apply
LocationPune, Maharashtra
Typefull-time
SenioritySenior
Experience8–12 yrs
Company size1,001–5,000 people
PostedSep 2, 2025 · 1y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Sep 2, 202571% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
Good to have knowledge of React.js/JavaScript/CSS/HTML/Node.js
Database skills, Azure development and deployment experience, AWS development and deployment experience, DynamoDB preferable
Skills
CrewAI
LangChain
AutoGen
Semantic Kernel
Python
OpenAI API
Anthropic API
Mistral API
Pinecone
FAISS
Chroma
MCP
React.js
JavaScript
CSS
HTML
Node.js
Azure
AWS
DynamoDB
Git
Benefits
Remote stipend
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