Backend Engineer Intern | AI Systems (m/f/d)

ductised digital products. Our current product, GetMOW, analyses how AI engines like ChatGPT, Perplexity and Google's AI Overviews represent B2B software brands, and tells companies what to change to get recommended. We need to move the core of this product from "working prototype" to a system that runs reliably at scale. That's this role. You'd own the backend: the system that queries multiple AI platforms, processes what comes back, and turns it into structured insight. We have the product logic worked out. What we need is an engineer who can turn that into infrastructure that doesn't break under real usage. Secondary to that, you'd also implement UI work from our product designer's designs and clean up parts of the existing frontend. The majority of your time goes to the backend and AI systems. Tasks Design and build the backend architecture for GetMOW's AI analysis engine: orchestration across multiple AI platforms, data pipelines, job scheduling, storageBuild AI workflows that hold up under real load - structured, tested, monitored, with clear failure handlingSet up the security and infrastructure basics: authentication, data handling, error handling, loggingUse AI coding tools (Claude Code or similar) to build fast, while understanding and owning what shipsImplement UI features from Figma designs and refactor parts of the existing frontend codebaseTake technical decisions independently and be able to explain them Strong backend fundamentals: APIs, databases, async processing, system designPractical experience building with LLMs or AI workflows: API integrations, structured outputs, multi-step pipelines, evaluation, or similar. Coursework alone isn't enough, we need something you've actually builtFamiliarity with our stack or something close to it: Next.js, TypeScript, Supabase, VercelA habit of writing secure, maintainable code, not just code that runs onceYou use AI tools to increase your speed, not to replace understanding your own systemFluent English Eligibility You must currently be enrolled at a university or in vocational training, and one of the following must apply: Mandatory internship (Pflichtpraktikum): required by your study or training regulations. You'll need your enrollment certificate and proof of the requirement.Voluntary internship alongside your studies: maximum 3 months Applications that don't meet either condition can't be considered, regardless of how strong the technical fit is. Benefits You'll own a production system from the start, not a peripheral featureDirect, regular contact with the founders on technical and product decisionsA real, live product you can point to afterward, not a toy projectIf it works out, a path to a long-term paid role with continued ownership of what you built Details Duration: 3-6 months (mandatory internship) or max. 3 months (voluntary internship)Full-time, 30-40h/weekBerlin office preferred, ideally 2+ days/week. Remote is possibleStart: as soon as possibleThis internship is unpaid, in line with the legal conditions aboveTowards the end of the internship, we'll discuss extending into a long-term, paid role based on performance and fit How to apply a link to your GitHub, portfolio, or a project you're proud of. Please complete the screening questions, they're the fastest way for you to stand out. Skills: Engineering