01AR
“Sells the deal he can ship.”
Aravind Reddy
Co-founder & CEO
Twelve years across BFSI platforms and product engineering at two acquired startups. Runs commercial strategy and the senior client relationships.
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ElvixIT is a privately held, fully remote IT startup based in India. We sell senior engineering time — IT services, consulting, outsourced squads, applied AI, and a handful of our own products — and we run a structured paid internship program that's become how we recruit. Mentors and managers are the same people. The bar is the same bar. We've been profitable since year two and we have no outside investors to keep happy with quarterly growth theatre.
We wrote these on a whiteboard in 2021 and have edited them twice. They show up in hiring rubrics, project kickoffs, and quarterly retros. When something feels off about an engagement, one of these is almost always being violated — and naming which one usually fixes it inside a sprint.
Engineers, designers and AI specialists are hired by the same partners who staff your project. Tenure over throughput. Our average engineer has been here 2.6 years — long for an Indian IT startup.
We write the test harness, the golden set, and the failure taxonomy before the first prompt is tuned. If a behaviour isn't measurable, we don't claim it works.
Every squad ships behind a staff-plus engineer who reviews each pull request. No tickets routed through a junior queue. No surprise rotation off the account mid-quarter.
From week two, interns own real production work paired with a mentor. The bar is the same as for full-time engineers — and roughly 38% convert to offers.
Each partner owns a P&L for their practice and still writes code or runs a workshop in any given month. There is no separate sales org — the people you meet in pitch are the people you brief on Monday, and the ones you escalate to on a difficult Thursday.
Twelve years across BFSI platforms and product engineering at two acquired startups. Runs commercial strategy and the senior client relationships.
Ex-staff engineer with a decade in distributed systems and platform infra. Owns engineering standards, hiring, and the architecture review board.
PhD in ML, six years shipping retrieval and agentic systems into regulated industries. Leads the AI practice, evals discipline, and model-ops tooling.
Runs the internship program end to end — campus partnerships, structured curriculum, conversion track. Also leads people ops for full-time staff.
Senior specialists who join squads on demand and converge for quarterly on-sites — the right people on your problem, without fixed-office overhead.
Senior specialists who join squads on a project basis. Quarterly on-sites.
Either the engagement form or the careers desk lands in front of a partner inside a day. No funnels, no qualification gates.