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Hiring 1 open role · remote, worldwide

Learn AI by shipping it.

We're a small studio, which means there's nowhere to hide and nothing between you and the real work. You'd build alongside the founders on systems that go live for actual clients — then watch what happens when real users touch them.

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Open role

One position. Read it properly.

We've written this posting the way we'd want one written for us — including the parts that are less comfortable to say out loud.

Internship · Engineering

AI Intern

  • Unpaid — paid conversion possible at 3 months
  • Fully remote
  • 6–8 hours per day
  • PPO possibility

01 About the role

You'd work directly with both co-founders — no layers, no ticket queue, no fetching coffee. We hand you real client and product work: building agents, wiring RAG pipelines, designing ComfyUI graphs, automating workflows in n8n, and deploying things people actually use. You'll see how an AI project travels from a vague client sentence to a running system, which is precisely the part college projects never cover.

02 What you'll work on

  • Build and ship chatbots, LLM applications and RAG pipelines on real client data
  • Design ComfyUI workflows and generative pipelines, custom nodes included
  • Automate business processes end to end in n8n and in code
  • Run evaluations, tune prompts, and chase down exactly why a model got it wrong
  • Deploy what you build — Docker, Linux servers, APIs, logging and monitoring
  • Sit in on client calls and see how scoping, pricing and delivery really work

03 Who this is for

  • You're in your 3rd or 4th year of college, or equivalent
  • You have AI projects to show — coursework, hackathons, side projects, open source
  • Comfortable in Python, and comfortable reading docs you've never seen before
  • Hands-on with at least one of: LLM APIs, LangChain / LlamaIndex, ComfyUI, n8n, vector databases
  • You can genuinely commit 6–8 hours every day, consistently
  • Self-directed — handed an ambiguous problem, you come back with good questions, then progress

04 What you get

  • Direct mentorship from founders with 6+ years of AI industry experience
  • Real production work in your portfolio — shipped systems, not sandbox demos
  • Hands on the newest models and tools as they land, not a year later
  • A written reference and recommendation on completion
  • Flexible hours across time zones — we measure output, not a clock
  • A clear conversion path, spelled out below rather than implied

05 The honest part

This internship is unpaid

We're an early-stage studio and we'd rather be straight with you than dress it up in equity language. There is no stipend during the first three months.

At the three-month mark we run a performance review. If your work has been strong and the studio's revenue supports it, we convert the role into a paid position. That second condition is real — we won't promise a salary we can't fund. For the right person, a pre-placement offer is genuinely on the table.

If either side decides it isn't working, you leave with the projects you built, a written reference, and no hard feelings. Please only apply if that trade sounds fair to you.

Week 1 Onboard

Tools, codebase, and your first change shipped to something real.

Month 1 Own

You take a feature or workflow end to end, with review rather than hand-holding.

Month 3 Review

Performance review. Conversion to paid, subject to your work and to revenue.

Beyond PPO

A pre-placement offer for the right person, ahead of your final year ending.

Apply

Send us your work.

A resume plus one honest paragraph about something you've built beats a polished cover letter every time. We read every application ourselves.

  • Link your GitHub, portfolio or a demo — we'd rather see it than read about it
  • Unfinished projects are fine, as long as you can explain the hard part
  • Shortlisted candidates hear back within roughly a week
  • Two conversations, one small take-home. No twelve-round gauntlet
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Goes straight to the founders.

Questions

Before you apply.

Yes, for the first three months. We say it plainly rather than burying it, because we don't want anyone to discover it in week two. After the three-month review, conversion to a paid position depends on both your performance and the studio having the revenue to support it.

Fully remote, and open worldwide. Our founders work from Australia and India, so we'd ask for a few overlapping hours with one of those time zones each day. The rest of your schedule is yours.

No. College projects, hackathons, open-source contributions and things you built for yourself all count — often more than an internship where you watched someone else work. What we look for is evidence you can finish something and explain the hard parts of it.

A short intro call, one small take-home task that should cost you a few hours rather than a weekend, and a technical conversation with both founders about what you built. Shortlisted candidates typically hear back within about a week of applying.

Only if you can genuinely find 6–8 hours a day. We've seen this go badly when someone stretches to say yes during exam season. If your availability starts after a semester ends, tell us that in the form — it isn't a mark against you.

One of three outcomes: conversion to a paid role, an extension if we both want more time, or a clean finish with a written reference and everything you built. For someone in their final year, a pre-placement offer is the path we'd most like to be on.

Apply for this role