Software Engineering Intern: AI-Native Product Engineering

FrontPage; Karnataka; On-site; INR 167,000 - 279,000; Full time

Job summary

FrontPage in Bangalore is inviting final-year students or recent graduates for a 4–6 month, full-time role. You’ll learn fast on live systems spanning backend APIs, mobile and web product features, databases, and real-time data infrastructure.

Work across AI-powered capabilities, developer tooling and performance improvements while reporting to the Tech Lead. This on-site internship offers a path to a full-time offer for exceptional performance.

Qualifications

• Demonstrate engineering passion through projects, hackathons or open source.
• AI-native mindset and familiarity with AI tools are valued.
• Ability to reason through unfamiliar systems and own problems end-to-end.
• Strong fundamentals in data structures, APIs, databases and Git.

Responsibilities

• Develop backend APIs and services.
• Build Android / iOS / web product features.
• Design and optimize databases, caching and real-time systems.
• Explore AI-powered product capabilities.
• Improve developer tooling and automation.
• Enhance performance, reliability and architectural simplicity.

Skills

Strong fundamentals in data structures

APIs

Git

AI-native mindset

Learning agility

Tools

Node.js

Python

PostgreSQL

Redis

Job description

• 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

1. 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.


2. 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.


3. 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.


4. 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.