AI Engineering

- Lead AI initiatives from requirement analysis through production deployment.

- Build scalable AI applications, APIs, microservices, and reusable components.

- Develop solutions using GenAI, LLMs, RAG, Agentic AI, MCP, Computer Vision, Voice AI, and Document Intelligence.

- Plan and track engineering activities, resolve technical blockers, and ensure timely delivery.

- Conduct technical and code reviews while maintaining engineering standards.

- Mentor engineers and support sprint planning, testing, releases, and production issues.

- Ensure solutions are secure, reliable, maintainable, observable, and scalable.

- Drive the adoption of reusable frameworks, tools, and development practices.