Internship Programme

Start Your Career Building Real AI

This is hands-on work on production AI products: CLAB Reactor, Aegis, Iris, Agent Studio, and MIRA. You ship code to real users, pair with senior engineers daily, and leave with a portfolio that actually means something. No coffee runs. No busywork.

You will work across

CLAB Reactor Aegis Iris Agent Studio MIRA
Why This Internship

This is where your career actually starts

Most internships teach you how an internship works. Ours teaches you how building real AI works. You join a team that ships production software to clients across fourteen countries, and you contribute from your first week. The work is hard, honest, and genuinely useful, and it is the fastest way we know to turn curiosity into capability.

Work on production AI, not toy projects

You will not build demos that die in a fork. You will commit code that ships to real users across our CLAB suite: Reactor, Aegis, Iris, Agent Studio, and MIRA.

Mentored by senior practitioners

One-on-one guidance from engineers who have shipped AI systems for over two decades. You pair with them daily, not once a month in a distant standup.

Learn the full AI stack

From raw data pipelines and feature engineering to model training, evaluation, and deployment. You touch every layer, not one isolated corner.

Pre-placement offers

Interns who raise the bar get full-time offers before the programme ends. Many of our team started exactly here, in this same cohort.

Real stipend, real respect

You are paid fairly and treated as a team member from day one. No fetching coffee, no busywork, no invented tasks to keep you occupied.

Build a portfolio that stands out

By the end you will have shipped features on live products that you can show future employers. Real URLs, real users, real impact.

Internship Tracks

Pick the path that fits your curiosity

Four focused tracks, one shared standard: real work, real mentorship, real outcomes. Tell us which one pulls you, and we will shape the rest together.

AI/ML Engineering

Design, train, fine-tune, and ship models. Work with LLMs, retrieval pipelines, embeddings, evals, and the tooling that turns a notebook into a production service.

Full-Stack Development

Build the products around the models: React, TypeScript, Node, APIs, databases, and the infrastructure that keeps everything fast and reliable for real users.

Data Science & Analytics

Turn messy real-world data into decisions. Build dashboards, run experiments, find the signal in the noise, and explain it to people who need to act on it.

Cyber Security

Help protect what we ship. Threat modelling, secure coding, AI governance, and PII protection on products like Aegis. Learn security as it is actually practiced.

The Programme

Four steps from application to outcome

1

Apply

Send your details and tell us what you are curious about. Links to things you have built matter more than a polished resume.

2

Technical conversation

A real conversation, not a trick-question interrogation. We talk through a problem together to see how you think.

3

The internship, 8 to 12 weeks

You join a team, get a mentor, own a real piece of work, and ship it. Hybrid and flexible, with our Chandigarh office when it helps.

4

Outcome

Strong interns receive a pre-placement offer. Everyone leaves with a certificate, a genuine reference, and work they can show.

What We Look For

We hire for how you think, not your resume

Curiosity

You ask why, a lot. You read, tinker, and pull things apart to see how they work.

Strong fundamentals

A solid grasp of data structures, algorithms, and at least one language. We can teach the rest.

Ownership

When something is yours, you see it through. You do not wait to be told what matters next.

Clear communication

You can explain your thinking in writing and out loud, to people who do not share your context.

FAQ

Questions, answered straight

Is it paid?

Yes. Every intern receives a monthly stipend. We do not run unpaid internships, full stop.

Remote or on-site?

Hybrid and flexible. Our office is in Chandigarh and we are remote-friendly. What matters is the work, not where you sit.

Do I need prior AI experience?

Helpful, but not required. Strong fundamentals and genuine curiosity matter more to us than a polished ML resume. We bring you up to speed.

What is the duration?

Eight to twelve weeks, aligned with academic calendars. We run cohorts year-round, so reach out whenever you are ready.

Ready to start building? Apply for the next cohort.

Tell us what you are curious about and what you have built. We read every application.