Backend Software Engineer // AI Music Video Platform

Tasks

• Own the systems that turn songs into videos: video generation pipelines, model orchestration, queue management, and the infrastructure that keeps it all running at scale.

• Design and build backend services in Python that orchestrate multiple AI providers (we work with fal, BytePlus, OpenRouter, AWS and others) and gracefully handle their quirks, failures, and pricing trade-offs.

• Improve reliability, latency, and cost across the generation stack. Every second shaved off a render and every cent saved per video compounds across millions of generations.

• Build the infrastructure for new product surfaces working closely with the founder and tech lead on architecture decisions.

• Instrument and monitor what you ship. You'll have real visibility into how your code performs in production and the autonomy to fix what's broken.

• Contribute to the AI/ML side of the stack: prompt engineering, model evaluation, fine-tuning pipelines, and experimenting with new models as they ship.

Requirements

• You've shipped production Python backends that handled real load - async workloads, queues, retries, the unglamorous stuff that makes systems actually work.

• You're comfortable working with AI APIs and have opinions about how to wrangle them: cost, latency, failure modes, model selection.

• You think in systems. When something breaks, your instinct is to find the root cause, not patch the symptom.

• You have high agency. You see a bottleneck, you fix it. You don't wait for a ticket.

• Bonus points: experience with video/audio processing pipelines (ffmpeg, GStreamer, etc.), GPU orchestration, multi-provider AI infrastructure, or distributed systems at scale.

• You're genuinely excited about generative AI and where it's heading. You probably have a side project or two that proves it.

• You're based in Berlin and can join us in the office on at least four days a week.