About the role
Most engineers spend their first years fixing tickets in someone else's system. You'd be building the core of ours.
Right now, when a buyer asks ChatGPT "what's the best tool for X", a handful of brands get recommended. Everyone else is invisible. And most companies have no idea which side they're on.
That's the problem GetMOW solves.
Why Cloud Studios exists
Cloud Studios is a Berlin app studio building a portfolio of premium, productised digital products. Small team, high standards, zero patience for boring. GetMOW is our current flagship: it shows B2B software companies how AI engines like ChatGPT, Perplexity, Google AI Overviews and Google AI Mode actually see their brand, and what to change so they get recommended.
The logic is mappend out. Now it needs to be engineered properly.
The role
Your main job: turn our product logic into a real, running system. The engine behind GetMOW runs prompts across multiple AI platforms, collects and structures what comes back, analyses it, and turns it into insights a CMO can act on. We know exactly how it should work. We need someone who knows how to build it so it doesn't fall over the moment real customers are on it.
Here's the part most internships won't offer: this isn't a side feature. It's the heart of the product.
Tasks
Architecting and building the backend system behind GetMOW's AI visibility analysis: orchestration across ChatGPT, Perplexity and Google's AI surfaces, data pipelines, scheduling, storage and processing
Designing AI workflows that are reliable, testable and cost-aware
Laying a secure, scalable foundation: auth, data handling, error handling, monitoring, clean infrastructure
Using AI tools (Claude Code or similar) to move fast, while owning every line that ships
Implementing new UI features from our product designer's designs and improving the existing frontend codebase
Making real technical decisions and defending them
Requirements
Solid backend fundamentals: APIs, databases, async jobs, system design
Hands-on experience building with LLMs or AI workflows (API integrations, structured outputs, multi-step pipelines, evals, anything real)
Comfortable across our stack: Next.js + TypeScript + Supabase + Vercel, AI-native (Claude or similar)
You care about security and code quality
You use AI to go faster, not to skip understanding
Strong English, written and spoken
Still reading? Good. That's already a good signal.
Who can apply (please read carefully)
You must be currently enrolled at a university or in vocational training, AND one of these must apply to you:
1. Mandatory internship (Pflichtpraktikum): your study or training regulations require you to complete an internship. You'll need to confirm this with your enrollment certificate and your program's internship requirement.
2. Voluntary internship alongside your studies: max. 3 months
If neither applies to you, we unfortunately can't and won't consider your application.
Benefits
Ownership of a core production system in month one, not year three
Working directly with the founders on every product and technical decision
A portfolio piece that's genuinely yours: a live AI product used by real companies
A seat at the table as we build the company, with the chance to shape your own role
Details
Duration: 3-6 months (mandatory internship) or max. 3 months (voluntary internship)
Full-time, 30-40h/week
Berlin office, ideally min. 2 days/week. Remote possible
Start: ASAP
This internship is unpaid. We will not be offering any payment for the course of this internship.
We're not looking for someone to babysit for a few months. We're looking for our engineer. Perform, and the conversation at the end is about a paid long-term role, with a proper title and real ownership.
How to apply
Send us a link to your GitHub, portfolio, or something you've built and are proud of.
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