Build Production Systems.
We Hire on Proof of Work.
We don't pigeonhole students into predefined role boxes, nor do we test theoretical leetcode puzzle trivia. If you're obsessive about building — whether you hack frontends, write Linux daemons, design AI agent pipelines, or craft C++ tools — apply directly below. We evaluate your actual projects and match you to the ideal engineering pod.
Our 5 Core Engineering Pods
You don't need to choose a single box when applying. We evaluate your GitHub repositories, architecture choices, and technical depth, then assign you to where you can make the biggest impact.
Frontend WebGL & Graphics
Build interactive, silky-smooth 60fps web experiences. Write custom Three.js shaders, optimize canvas redraws, and craft fluid kinetic micro-animations with React 19 and Next.js 15.
Autonomous AI & Swarms
Design deterministic multi-agent state machines with LangGraph, AutoGen, and Gemini 2.5 Flash. Build multi-step tool-calling workflows with automated self-healing error correction loops.
Sub-400ms RAG & Vector Stores
Engineer sub-second retrieval pipelines querying millions of documents. Implement hybrid BM25 + dense neural search, cross-encoder re-ranking, and low-latency embeddings caches.
Distributed Cloud, Rust & Go
Architect high-throughput microservices, background job queues, and WebSocket event buses. Deploy containerized workloads on Kubernetes with zero-downtime rolling updates.
Media, WebRTC & Voice Engines
Process real-time streaming audio and video with WebRTC, Agora, and FFmpeg. Integrate speech-to-text diarization, low-latency ElevenLabs voice agents, and live canvas OCR engines.
Full-Stack Product & Mobile
Ship complete user-facing applications with Flutter and React Native. Wire offline-first SQLite databases, biometric security, and push notification infrastructure for cross-platform apps.
How You Ship: Week 1 to Production
We don't assign trivial sandbox exercises or coffee runs. You work alongside Saurabh and our principal architects on software deployed to real enterprise clients across 195 global markets.
Over 80% of our high-performing student fellows receive formal pre-placement offers (PPOs) for full-time Core Engineer roles before graduation.
Repository Access & Architecture Deep Dive
You are paired 1-on-1 with a senior engineer, given access to active Git branches, cloud environments, and walkthroughs of production system diagrams.
Code Merged to Staging & Live Canary
You submit your first pull request, participate in rigorous code reviews, resolve feedback, and watch your changes get deployed to live production users.
Lead a Discrete Microservice or UI System
You take full end-to-end responsibility for an entire feature — database migrations, API design, unit test coverage, and latency benchmarking.
Load Testing, P99 Latency & PPO Review
Profile memory, stress test concurrent WebSockets, harden Kubernetes manifests, and present your engineering contributions for full-time offer evaluation.
Open Student Fellowship Application
Tell us who you are, what you've built, and drop your resume. No role titles to select — we will review your proof of work and place you in the pod where your talents shine brightest.
Frequently Asked Questions
Everything you need to know about our fellowship interview criteria, hours, and expectations.
Can 1st or 2nd-year students apply?
Yes, absolutely. We evaluate candidates purely on their ability to build and think technically. If you have built compelling side projects, contributed to open source, or solved real problems in code, your college year is irrelevant to us.
Do I need prior internship experience?
No. We value high-velocity personal exploration, GitHub repositories, and live deployed applications much more than cookie-cutter certificate courses or generic past internships.
Is this fellowship paid?
Yes. Every engineering fellow receives a competitive monthly stipend (₹25,000–₹60,000/mo) based on technical scope and experience, plus fully covered cloud and AI API credits.
How flexible are working hours during college exams?
100% flexible. We know university midterms and finals require focus. Fellows take planned exam leaves with zero penalties or stress — we care about asynchronous output, not clock-watching.