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
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Integrate AI products that process data from external sources and multiple systems in real time.
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Route streaming responses and language model requests across providers, with fallback and cost controls.
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Monitor latency, costs, and error rates, then address issues proactively before they degrade the experience.
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Make architectural decisions that balance system quality with simple, maintainable designs.
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Build application code alongside platform and operational work, and investigate production issues through instrumentation and root-cause analysis.
What We're Looking For
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At least 3 years of production backend engineering experience, including substantial TypeScript experience and ownership of production systems.
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Production experience with Docker and Kubernetes, plus solid knowledge of PostgreSQL, APIs, queues, and caching.
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Strong system design skills and the ability to reason about performance, latency, reliability, and cost trade-offs.
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Experience improving platform reliability and performance under production load, and building observability to diagnose complex systems.
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Experience with streaming responses or language model request routing across providers is valuable.
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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.
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