Job Description

About the Role

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.

What You'll Do

• 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.

What We're Looking For

• 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.

Compensation & Benefits

Annual base salary: €60,000 to €90,000. Visa sponsorship is not available.

Location

Hybrid work arrangement, based in Munich, Germany.