AI Engineering - FTE

What You’ll Do

Design and improve prompts for classification and extraction tasks

Run structured evaluation cycles (accuracy, error analysis, iteration)

Build datasets for testing and validation

Analyze outputs from real usage (logs, SQLite data, structured results)

Write Python scripts for testing, scoring, and comparisons

Identify failure patterns and propose improvements

Validate system behavior in iOS simulation environments

Document findings in a clear and structured manner

Qualifications

What We’re Looking For

We care most about problem-solving ability and a bias toward action — credentials matter less than evidence you can think clearly and ship things.

Currently pursuing a Masters degree in CS, AI/ML, Data Science, or related field with a Bachelor’s degree in CS

Experience shipping at least one production-grade mobile app

Strong proficiency in React Native, Expo, and iOS ecosystem

Python proficiency for scripting and data validation

Experience working with APIs and local databases (SQLite or similar)

Strong problem-solving and debugging skills

Experience or formal training with LLMs and prompt engineering

Clear and proactive communication

Availability for full-time (or near full-time) internship

Strong oral and written communication skills

Ability to analyze results and iterate systematically

This Role May Not Be a Fit If

You have no experience with mobile app development

Your experience with AI tools is limited to basic usage

All of your experience is from coursework only

You prefer well-defined assignments with clear answers

You are not interested in analyzing and debugging system failures

Additional Information

Work Timing - 7:30pm IST to 4:30 am IST

Or may be flexible with a half day overlap with US teams - 3pm to 12am IST shift maybe