Join an AI product engineering team building a platform that connects data sources and supports real-time workflows. You will shape the platform foundations, helping keep systems reliable, performant, and straightforward to operate as they scale.
Integrate AI products that process data from external sources and multiple systems in real time.
Route streaming responses and language model requests across providers, with fallback and cost controls.
Monitor latency, costs, and error rates, then address issues proactively before they degrade the experience.
Make architectural decisions that balance system quality with simple, maintainable designs.
Build application code alongside platform and operational work, and investigate production issues through instrumentation and root-cause analysis.
At least 3 years of production backend engineering experience, including substantial TypeScript experience and ownership of production systems.
Production experience with Docker and Kubernetes, plus solid knowledge of PostgreSQL, APIs, queues, and caching.
Strong system design skills and the ability to reason about performance, latency, reliability, and cost trade-offs.
Experience improving platform reliability and performance under production load, and building observability to diagnose complex systems.
Experience with streaming responses or language model request routing across providers is valuable.
Comfort contributing to frontend code when needed, and experience with CI/CD, safe deployments, and incident follow-up is beneficial.
Annual base salary: €60,000 to €90,000. Visa sponsorship is not available.
Hybrid work arrangement, based in Munich, Germany.