Software Engineering Intern: AI-Native Product Engineering

Location: Bangalore (On-site, HSR Layout) Duration: 4–6 months, full-time Who should apply: Final-year students / recent graduates Potential outcome: Full-time offer for exceptional performance Reports to: Tech Lead About FrontPage FrontPage is a financial markets community platform with ~1.5L DAU / 6L MAU, profitable with real subscription + ad revenue. The stack spans community systems, real-time market data ingestion, trading simulation, mobile + web clients, and cloud infra under live market load.

It's stable, revenue-backed, and battle-tested. And we're now increasing our build pace. What You’ll Work On Depending on your strengths, you could work across: Backend APIs and services Android / iOS / web product features Databases, caching and real-time systems AI-powered product capabilities Developer tooling and automation Performance, reliability and technical simplification New product experiments used by thousands of users You're not expected to know all of this going in.

You're expected to learn fast. What We Look For You genuinely enjoy engineering. Code outside coursework, side projects, hackathons, open source - something you can show us.

You care why something works, not just that it works. You're already AI-native. You build with Claude Code, Cursor, Codex or similar — and you're developing real judgment about it: how to break problems down for AI, how to inspect and challenge generated code, when to use AI vs. reason it out yourself, how AI changes architecture and speed.

This matters far more to us than certificates or AI coursework. You can reason through unfamiliar systems. Given a new codebase or problem, you don't wait for a ticket — you understand → investigate → hypothesize → build → test → improve, on your own.

You have strong fundamentals. Data structures, APIs, databases, Git, debugging, and at least one language you know deeply enough to build real software with. Our stack is Node.js, Python, PostgreSQL, Redis, mobile, and cloud infra — but we hire for learning ability, not stack overlap.

This Role Is Probably Not For You If You want an internship brand for your résumé You wait for detailed specs before starting You use AI mainly to generate assignments You dislike debugging unfamiliar code You want a structured, big-company engineering environment Why This Could Be Interesting Unusually broad exposure, early - backend, mobile, databases, AI, and product decisions all interacting inside a live platform at scale, working directly with the people making the calls rather than several layers removed.

Steep learning curve, real ownership.