We're looking for an AI Engineering Intern to join our team and work hands-on with our domain experts to turn AI pipelines into working prototypes and production-ready solutions deployable in enterprise environments. This is a builder-focused role: you'll spend your time designing, implementing, and hardening real systems rather than working from theory.
What you'll do
Collaborate with experienced domain experts to convert existing AI pipelines into functional prototypes
Take promising prototypes through to production-ready projects suitable for enterprise deployment
Build and iterate on AI agents and the supporting harnesses that make them reliable and testable
Contribute to the engineering practices that keep our systems robust, maintainable, and deployable at scale
What we're looking for
Solid understanding of how to build AI agents and the harnesses around them (orchestration, tooling, evaluation, guardrails)
Strong programming fundamentals and a hands-on, empirical approach to debugging and problem-solving
Currently pursuing or recently completed an M.Tech in Computer Science, AI/ML, or a related field
Ability to work in-office and collaborate closely with a cross-functional team
Nice to have
List Public projects that were implement / GitHub links to showcase work.
Exposure to cloud platforms such as Azure, AWS, or GCP
Experience deploying or operating software in enterprise settings
You will be successful in this role if you have:
Final-year M.Tech students or recent graduates