Job Description

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.