Full-Stack Engineer

Own: Well-scoped full-stack tasks across the back end and front end, under close mentorship, growing into owning whole features

About ADOSX

The future of automotive retail will not be software-enabled—it will be intelligence-driven and increasingly autonomous.

ADOSX is building a world-class AI-native operating system for automotive retail in India, combining agentic workflows, unified data platforms, and real-time intelligence into a single platform that helps auto-retail operate smarter, faster, and more profitably.

We’re currently a four-member founding team—working directly with customers and building from idea to MVP. Backed by strategic investors from the automotive dealership ecosystem, our ambition is to redefine auto-tech space in the next five years.

This is not a 9-to-5 job. This is a builder's journey.

Joining ADOSX is closer to building a company than joining one. You’ll work directly with founders, own products end-to-end, and experience both the 0→1 and 1→100 journeys while helping shape technology, culture, and customer outcomes.

We believe in high ownership, customer obsession, curiosity, bias for action, and having the courage to challenge assumptions. We value builders over titles and outcomes over hierarchy.

The truth is that early-stage startups are hard.

There will be ambiguity, rapid change, and uncomfortable challenges. But there will also be extraordinary learning, genuine ownership, and the opportunity to create something that outlasts us.

Many people learn more in two years at a company like ADOSX than in ten years elsewhere.

If you want to help redefine how an entire industry operates, we’d love to build ADOSX together.

The Role

You are early in your career and here to grow fast on a real, hard product.

You take well-defined tasks across the stack, a slice of an API, a screen, a scheduled job, a set of tests, and deliver them well, with the architect and senior engineer guiding you. You are expected to build agentically from day one, using AI coding agents to learn faster and ship more while learning to judge what they get wrong. Over time you grow into owning whole features end to end.

You’ll spend time inside dealerships, work closely with customers, and build systems grounded in operational reality—not assumptions.

What you'll own

Build well-scoped pieces across the stack
Django models, serializers, and tasks on the back end, and React and Next.js screens and components on the front, within the patterns the architect sets.

Work close to real data
Help build the integrations that bring in a dealer’s data and the tooling that makes it inspectable, learning how messy real-world data becomes something trustworthy.

Use AI agents well
Lean on AI coding assistants to move faster, but learn to read and verify what they produce rather than pasting it blindly, especially on anything touching money or another dealer’s data.

Write tests, including the unglamorous but vital ones that protect tenant isolation. You will learn early why these matter. Fix, instrument, and document. Chase down a bug, add logging, write the runbook entry. The connective tissue of a real system.

What we're looking for

Foundations across the stack
some Python and some JavaScript or React, from internships, projects, or self-teaching. We care how you think, not your years.

Already building with AI tools
You use AI coding assistants on your own projects and are keen to get sharper at directing and checking them.

Care about correctness
You double-check, you test, and you would rather ask than guess on something that matters.

Fast learner, low ego
You take feedback well, read code to understand it, and are not afraid to say “I don’t know that yet.”

Basic SQL and a willingness to get genuinely good at it.

Nice to have

Any Django, React, Celery, or SQL exposure, curiosity about LLMs and agentic workflows, and comfort on the command line and with Git.

You'll Thrive Here If

You love ambiguity more than certainty.

You prefer ownership over instructions.

You think in systems, not tickets.

You enjoy getting your hands dirty with customers.

You learn by building rather than waiting.

You use AI as leverage, not as a substitute for judgment.

You want both the 0→1 and 1→100 journeys.

The Hard Truth

Early-stage startups are hard.

There will be ambiguity, changing priorities, and periods of intense execution because building from zero demands it.

But you’ll own products end-to-end, work directly with founders and customers, and likely learn more in two years than many engineers do in ten.

If building the intelligence layer for Indian automotive retail excites you more than maintaining systems someone else designed, we’d love to build ADOSX together.

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