Job Description
We are looking for a GenAI Engineer with 4–8 years of experience to design and build scalable RAG-based and agentic AI solutions. The role involves working with vector databases, LLM orchestration, and FastAPI-based services to take AI products from prototype to production, while collaborating across ML, data, and cloud teams and mentoring engineers.
Key Responsibilities
Design and implement scalable RAG-based GenAI systems
Architect and optimize vector database solutions for semantic search and retrieval
Integrate and work with MCP (Model Context Protocol) for standardized LLM tool and context management
Build and orchestrate agentic AI workflows using LLMs
Lead end-to-end AI solution development from prototype to production
Develop robust APIs using FastAPI and Python. Ensuring security and scalability
Deploy and manage AI services using Docker
Establish best practices for code quality, version control, and CI/CD using Git
Guide and mentor jun...
Key Responsibilities
Design and implement scalable RAG-based GenAI systems
Architect and optimize vector database solutions for semantic search and retrieval
Integrate and work with MCP (Model Context Protocol) for standardized LLM tool and context management
Build and orchestrate agentic AI workflows using LLMs
Lead end-to-end AI solution development from prototype to production
Develop robust APIs using FastAPI and Python. Ensuring security and scalability
Deploy and manage AI services using Docker
Establish best practices for code quality, version control, and CI/CD using Git
Guide and mentor jun...
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