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Salary
$67k – $101k per year
Location
Hybrid (Munich, Germany)
Seniority
Senior · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 2, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU Berlin

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.

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