About the Role
Join a product engineering team building a business-focused AI platform. You will shape the platform foundations that make AI integrations reliable, performant, and straightforward to operate in production.
What You'll Do
Build and integrate AI product capabilities that process data from external sources and multiple systems in real time.
Route streaming responses and language model requests across providers, including fallback and cost-management logic.
Monitor latency, costs, and error rates, then act proactively to prevent reliability or performance issues.
Make architectural decisions that improve system quality while keeping solutions simple and maintainable.
Instrument services, investigate production issues, and implement fixes that address root causes.
What We're Looking For
At least 3 years of backend engineering experience, including production TypeScript application development.
Production experience with Docker and Kubernetes, alongside hands-on application coding.
Strong system design skills and the ability to reason about performance, latency, and cost trade-offs.
Working knowledge of PostgreSQL, APIs, queues, and caching.
Experience improving platform reliability and performance under production load, including observability, instrumentation, and root-cause analysis.
Experience with streaming responses or routing language model requests across providers, including fallback and cost logic.
CI/CD, safe deployment practices, secure permissions, and structured incident follow-up are valuable; comfort contributing to frontend code is also helpful.
Compensation & Benefits
Base salary: €60,000 to €90,000 annually. Visa sponsorship is not available.
Location
Hybrid role based in Munich, Germany.