Overview
AI Builder role at Razorpay: own an outcome by finding a real business problem, shipping a working AI solution yourself, and driving it to adoption.
What you'll do
- Work AI-first: use AI by default to research, prototype, analyse and automate, and help the teams you work with do the same
- Sit with business and ops teams, find the problems worth solving, and size them in time, money or risk
- Ship a working v1 yourself in days, using AI coding tools, agents, no-code or whatever gets there fastest
- Get it adopted: onboard the first users, measure usage and impact, and iterate until it sticks
- Decide fast what to scale, change or kill, and say why
- Stay ahead of new models and tools, and know quickly which ones matter for your problems
What you'll need
- AI-first: AI is your default way to research, build and ship, and you try new models and tools early
- Have built something from zero: founded something, joined a founding team, or launched your own side product, and can say what happened to it
- Start from the problem: explain who had it, how you knew it was real and what metric moved
- Build with your own hands: have shipped AI-powered products or workflows yourself, with code, agents or no-code, and can show them
- Get things adopted: taken something from launch to real users, inside a company or in the market
- Communicate crisply: explain a messy problem and your call on it in five minutes
- Own outcomes: make the call and move without a spec
Nice to have
- A startup or side venture you started that got real users, revenue or funding
- Product or GTM experience in fintech, payments or consumer
- Founding-team experience in go-to-market: positioning, first customers, pricing
- A data science, analytics or engineering background, enough to debate trade-offs with engineers
- A public trail: a blog, talks, open-source work or products people can try
Details
Read the full description and apply on the company’s own careers page.