Razorpay AI Buildathon — Build. Show. Get hired.

Think you can build real AI? Prove it. A student-only program to discover and hire our next generation of AI Builder Interns. Students only. 6 or 12 month AI Builder Internship. In-person, Bangalore, from September.

No resume screening. No long application. Four steps: pick a track, build something real, show your work (a public repo, a 5 minute pitch video, the architecture), and if it has signal we call you in.

Tracks

01 — AI Growth & Agentic Commerce

Grow the merchant’s revenue, and make them sellable to AI buyers.

Build an agent that grows revenue for a merchant on Razorpay test-mode APIs, or that makes a merchant transactable by an AI buyer end to end.

Why now: NPCI’s UAP and the global protocol race (ACP, AP2, x402) make agent-to-agent commerce the open problem of the year, and Razorpay’s in-app pilots are already live.

Example directions:

• Conversational in-app checkout
• Agent-readable catalog
• Upsell & cross-sell agent
• Campaign orchestrator.

The bar: Every money action explainable, bounded and gated. Show the audit trail and one failure handled gracefully.

02 — AI Risk Manager

Stop the merchant losing money to fraud, returns and chargebacks.

Build a working detector, verifier or auto-responder for one class of loss, with measured precision and recall on a held-out test set.

Why now: AI-enabled fraud is hitting Indian BFSI while returns and chargebacks quietly eat margin. This track surfaces the risk and ML minded builders the others miss.

Example directions:

• Chargeback evidence responder
• Return-risk scorer
• Fraud-spike detector
• Abuse-ring sentinel.

The bar: Honest metrics including false-positive cost. Strictly defense-only: anything offense-capable is disqualified.

03 — AI Revenue Recovery

Find revenue that’s slipping away and win it back.

Build an agent that detects revenue at risk, determines the right intervention, and executes a bounded recovery workflow: from payment failures and checkout abandonment to overdue receivables.

Why now: Revenue loss rarely happens in one clean step. A payment degrades, a checkout gets abandoned, a subscription fails, or an invoice goes overdue. AI can now close the loop from detecting the problem to diagnosing it, choosing the right intervention, and recovering the money.

Example directions:

• Payment degradation → root cause → recovery action
• Checkout drop-off recovery
• Failed-subscription recovery
• B2B receivables chaser
• Mandate retry sequencer
• Hinglish voice recovery
• Promise-to-pay tracker.

The bar: Don’t just identify the problem. Show measured money recovered across a batch, with compliant escalation, stopping rules, and an audit trail.

04 — AI Finance Controller

Run the books and the cash position.

Build an agent that closes one finance-ops loop across a 50+ record batch of synthetic data, reporting its match rate and the exceptions it could not resolve.

Why now: The 2026 builder consensus: verification capacity, not generation speed, is the bottleneck. Reconciliation, settlement and forecasting are still done by hand.

Example directions:

• Multi-source reconciliation
• Settlement Q&A agent
• Forward cash forecaster
• Tax-line matcher.

The bar: Throughput plus measured accuracy plus an honest exception list. One cherry-picked match proves nothing.

05 — Open Track

Build what you believe should exist.

Have an idea that doesn’t fit the tracks above? Build it. Pick a real problem, use AI meaningfully, and show us something that works. Any domain, workflow, or user is fair game.

Why now: The best ideas don’t always fit a predefined category. This track exists for builders who see an opportunity we didn’t.

Example directions:

• Surprise us
• Solve a problem you deeply understand
• Build something we haven’t thought of.

The bar: Open doesn’t mean easier. Show a real problem, a working product, meaningful use of AI, and evidence that it creates value. The same bar for execution, reliability, and depth applies here.

The offer

₹75,000 (monthly stipend) · 6 or 12 (months, your choice) · In-person (Bangalore, from September). Shortlisted builders go straight to a panel. No aptitude test. No group discussion.

Your code speaks louder than your resume.