Atlan · Engineering
[starts: sep 2026 · remote, india] Becoming Frontier ↗
AI-Native Builder Intern 2026.09 · Six months · Remote, India

The start of doing the best work of your life.

Atlan is building the context layer for enterprise AI. Six months, full-time, shipping production code to Mastercard, Zoom, Nasdaq, Unilever and hundreds of others. You will be joining while the architecture, the abstractions and the surface area are all live questions.

Duration6 months, full-time
StartFirst week of Sept 2026
FormatRemote + offsites
YouB.Tech, 2027 or 2026
A large group of Atlan employees gathered outdoors under palm trees at a company offsite, most wearing blue Atlan jackets.
A few of the 400+ Atlanians across 12+ countries Fig. 01 · Company offsite
The bet

95% of AI pilots fail. Not because the models are weak, but because they have no idea what the data means.

Someone has to build the layer that fixes that. We are.

Definitions, semantics, ownership, trust signals, policy. The things that turn a warehouse full of tables into something an agent can act on without inventing an answer. This is early. The foundations are still being laid, which is exactly why an intern here writes code that matters instead of code that waits.

What you will work on

The surface area is wide, and mostly unclaimed.

Context

The context layer itself

How business meaning, lineage and trust signals get modelled, then exposed to both AI agents and the humans who have to trust them.

Integrations

The stacks enterprises actually run

Connecting to the platforms real companies run on, and handling the messy realities that come with them.

Reliability

Evals for agents on real data

Reliability and evaluation for AI agents operating on enterprise data, where a confident wrong answer is worse than no answer.

Tooling

Platforms that compound

Developer tooling and internal platforms that make every other engineer on the team faster than they were last month.

Next

Whatever comes next

The space moves weekly. New problems appear faster than we can staff them, and you will be at the front of that.

Access

The same keys as everyone

Same code, same context, same customer conversations that full-time engineers get. From week one, not month three.

Who this is for

The four things that matter most.

  • Builder at heart

    You like building things that solve real problems, and you care deeply about which problems you pick. There is a trail of things you made because nobody asked you to.

  • AI-native by default

    You have rewired how you read, write, debug and ship. Two dimensions matter here: how well you build with AI, and whether you have actually built AI systems. Agents, RAG pipelines, MCP servers, eval harnesses, things that run.

  • Bias toward action

    You move toward unclear problems instead of waiting for them to be defined. When the spec is missing, you write it. When the abstraction feels wrong, you say so out loud.

  • Collaborative by nature

    You would rather get a rough draft in front of a teammate today than polish something alone for a week.

The interview process

Three conversations. Light on prep, heavy on real work.

All over Zoom. We are interested in how you actually think and build, not in rehearsed answers.

01

Intro call with the hiring manager

~30 minutes

The projects you have worked on, past internships if any, and what you have been building most recently. Come ready to talk through what you built, why you picked that problem, and the calls you made along the way.

02

Technical deep dive

~60 minutes

Your problem-solving and your experience working with AI in practice. We will go through your personal and academic projects, so have the code, demos or docs open and ready to share.

03

Culture interview

~45 minutes

How you think, build and grow. What energizes you, how you work with peers, and what you do when an approach you trusted turns out to be wrong. We look for self-awareness and honesty about what you do not know yet.

Have your projects open. Code, demos or docs, whatever shows the real thing rather than a description of it.

Logistics

Dates, duration and eligibility.

Duration

Six months, full-time.

Start date

First week of September 2026.

Format

Fully remote, with team offsites every few months so you actually meet the people you ship with.

Eligibility

Graduating from a B.Tech program in 2027, or graduated in 2026.

NOC

A No Objection Certificate from your college is required before you join.

After

A real shot at a full-time offer at Atlan after graduation.

How to apply

There is no apply button. On purpose.

This cohort is referral only. We are not running an open application for it, and there is no form at the end of this page.

Every candidate comes in through an Atlanian who has seen your work and is willing to put their name next to it. That is a higher bar than a resume screen, and a much better signal for both of us.

Referral window

6 August to 18 August 2026. Referrals for this cohort close on 18 August, so start the conversation early rather than on the last day.