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Location
In office (Munich)
Seniority
Middle · 3+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Oct 23, 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

About the Role

Join an early-stage healthtech team as its founding software and AI engineer, taking diagnostic technology from research prototype to deployed medical device. You will build production software and AI systems while helping shape the technical strategy for commercialization.

What You'll Do

  • Own software delivery across the application, backend, and AI components.

  • Develop and deploy computer vision models to interpret colorimetric signals from diagnostic hardware.

  • Build backend APIs and establish architecture, testing, and deployment practices.

  • Integrate imaging hardware and manage data pipelines for machine learning workflows.

  • Help define technical strategy and support commercialization alongside the founding team.

What We're Looking For

  • A relevant master's degree or equivalent practical experience, with at least 3 years of software development experience building production applications.

  • Strong Python skills and experience shipping production software, building backend systems and APIs, and designing production software architecture.

  • Practical experience building and deploying computer vision and machine learning models, including data pipelines for ML workflows.

  • Experience with frontend or mobile development, C or C++, and software integration with hardware or embedded systems.

  • Familiarity with cloud or on-premises deployment, CI/CD, and MLOps practices.

  • Medical device or other regulated software experience, including familiarity with IEC 62304, is valuable, as is experience taking prototypes to commercial deployment.

  • An independent, entrepreneurial approach and strong ownership mindset.

Compensation & Benefits

Visa sponsorship is not available. Local work authorization is required.

Location

On-site in Munich, Bavaria, Germany.

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