Demonstrated AI/ML project depth — coursework, research, open-source, hackathons, or prior internships where you’ve built something non-trivial with LLMs and evaluated it rigorously.
- At least one substantial project where you owned a system end-to-end — designed it, built it, and dealt with what broke. Tenure of effort matters more than tenure of employment.
- Solid engineering skills in Python: you write clean, testable code, debug at system boundaries, and are comfortable in production-style stacks.
- Working knowledge of modern LLMs — prompting, fine-tuning, retrieval, agents, or evaluation. You’ve gone deeper than a tutorial on at least one of these.
- A systems mindset: you think in interfaces, data contracts, failure modes, and rollout plans — not just model tweaks.
- A track record of collaborating and learning in the open — asking sharp questions, giving and taking feedback, and pushing for quality without being asked.
- Available to work full-time onsite in Bengaluru for the internship duration, with intent to convert to a full-time role.
What You’ll Gain ?
- Mentorship from engineers who have scaled AI-native systems.
- Exposure to cutting-edge tech
- Understanding of real-world product development in a high-growth AI-driven startup.
- Potential Pre-Placement Offer (PPO) based on your performance.
