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 men...
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 men...
Apply for this Position
Ready to join C5i? Click the button below to submit your application.
Submit Application