AI Engineering Intern

Role Overview

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.

Responsibilities

• 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

Requirements

• 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
• Must be pursuing final year of B.Tech in Artificial Intelligence & Machine Learning (AI/ML) and expected to graduate in 2027/2028
• This is a 9 month Internship Program

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

Skills

• Python
• AI Agents
• Machine Learning
• AWS
• GitHub