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

GetMOW·Berlinjunior

En corto

→Ingeniero backend que construye sistemas de IA escalables para analizar cómo se representan marcas en motores de IA.
→Día a día: arquitectura de backend, pipelines de IA, integraciones con múltiples plataformas y trabajo secundario en UI.
→Destacado: tienes propiedad total de un sistema de producción real desde el inicio, no un proyecto de prueba.

Fluent English

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¿Qué piden?

✓Experiencia práctica con LLMs o flujos de trabajo de IA (no solo cursos).
✓Fundamentos sólidos en backend: APIs, bases de datos, procesamiento asíncrono.
✓Familiaridad con Next.js, TypeScript, Supabase y Vercel (o tecnologías similares).
✓Capacidad para escribir código seguro, mantenible y bien estructurado.
✓Uso activo de herramientas de IA para codificar (como Claude Code), con comprensión profunda del código generado.
✓Inglés fluido para comunicación técnica.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

Next.jsTypeScriptSupabaseVercelLLMsAPI integrationsAI workflowsJob schedulingData pipelinesClaude Code

¿A quién escribirle en GetMOW?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Cloud Studios is a Berlin app studio building premium, productised 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. Requirements Strong backend fundamentals: APIs, databases, async processing, system design Practical experience building with LLMs or AI workflows: API integrations, structured outputs, multi-step pipelines, evaluation, or similar. js, TypeScript, Supabase, Vercel A habit of writing secure, maintainable code, not just code that runs once You use AI tools to increase your speed, not to replace understanding your own system Fluent English Eligibility You must currently be enrolled at a university or in vocational training, and one of the following must apply: 1. Mandatory internship (Pflichtpraktikum): required by your study or training regulations. You'll need your enrollment certificate and proof of the requirement. 2. 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 feature Direct, regular contact with the founders on technical and product decisions A real, live product you can point to afterward, not a toy project If 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/week Berlin office preferred, ideally 2+ days/week. Remote is possible Start: as soon as possible This internship is unpaid, in line with the legal conditions above Towards the end of the internship, we'll discuss extending into a long-term, paid role based on performance and fit How to apply Send 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.

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