Six reasons people join — and stay.
You own what you build.
There are no layers of management between your work and the user. You design, ship, and maintain your own systems. Decisions move in hours, not quarters.
The work is real.
Every line of code runs in production. Every model runs on real enterprise data. Every improvement you make shows up immediately for paying customers.
You'll work across the full stack.
We're small enough that nobody specializes into irrelevance. Engineers here work from model fine-tuning to API design to frontend. You'll learn the whole system.
Speed over process.
We don't run sprints with velocity points. We agree on what needs to ship, we ship it, and we move on. If you work best with clear goals and minimal overhead, this is for you.
Research connects to product.
Our machine learning research achieved 97.7% classification accuracy. That work lives in our products, not in a journal. Research here has a direct line to what users experience.
Early is an advantage.
The equity and the ownership that comes with joining early is real. What you build in the next two years will define what this company looks like at scale.
3 positions open now.
We hire slowly and carefully. We'd rather leave a role open longer than bring in the wrong person.
AI Engineer
You will build and maintain the AI systems that power our core products. This role sits at the intersection of research and production — you take models from experiment to deployed API, and you own their performance in production.
Data Analyst Intern
You will work directly on the data layer of our platforms — cleaning pipelines, building dashboards, and running analyses that inform product decisions. This is a hands-on role with direct access to real production data systems.
ML Research Intern
You will run experiments, read papers, and contribute directly to the research that feeds our AI platforms. This is not a literature review role — you will write code, run training runs, and report results that directly influence what we ship.
If you can contribute meaningfully to what we're building, write to us with your background and what you want to work on. info@shakalyainternational.in
How we hire.
Application review
We read every application ourselves. No automated screening. If your background matches what we're building, we respond within 5 business days.
Introductory call
A 30-minute call with the founder. No prepared questions, no HR scripts. We want to understand how you think and what you want to build.
Technical assessment
A focused, scoped task relevant to the role — never more than 3 hours. We pay for assessments that require significant time. You'll work on real problems, not puzzles.
Final conversation
We discuss your assessment, answer your questions about the role, and align on expectations. If it's right for both sides, we move to an offer the same week.
What to expect on day one — and every day after.
If this sounds like where you want to work, tell us.
Send your background, what you want to build, and which role you're applying for to info@shakalyainternational.in