Build the future of AI infrastructure
We're a small team working on the serverless GPU platform for the next generation of AI applications. If you care about hard problems, clean systems, and real impact — this is where you belong.
Why IN2PETA
Own real surface area
No ticket queues. You ship features end-to-end and see real users within days of writing the code.
GPU-scale problems
Cold start latency, GPU scheduling, usage billing, distributed inference — the problems here are genuinely hard.
Remote & async
Work from anywhere. We care about output, not online hours. Weekly syncs, everything else async.
The team
People building IN2PETA today
Ruchir Kalokhe
Backend & Infrastructure Intern
Building the core GPU inference engine and API infrastructure at IN2PETA. Focused on distributed systems, cloud-native architecture, and making ML deployment fast and reliable. Currently working on serverless GPU orchestration, billing pipelines, and Prisma-based data modelling.
Arya Madel
Full Stack Intern
Working across the entire stack at IN2PETA — from building React UIs to writing Fastify API routes. Passionate about developer experience, clean code, and bridging the gap between complex ML infrastructure and everyday developers who just want to ship.
Aarya Dharmadhikari
Frontend & Product Intern
Shaping the IN2PETA product experience from the ground up. Working on the dashboard, billing flows, blog platform, and marketing pages. Driven by making GPU infrastructure feel approachable — turning complex systems into interfaces that developers actually enjoy using.
Open positions
Current openings
No open roles right now
Nothing listed at the moment, but we're always interested in exceptional people. Drop us a note.
Interested in an internship?
We're open to motivated students and early-career engineers
We work with interns who want to go deep on real infrastructure problems — not toy projects. If you're driven and have work to show, reach out directly.
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