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Founding Engineer (Full-Stack/AI)

Clera · On site, Munich, DE

60.000 - 90.000 EUR / Año · Publicado el 13 nov 2026

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Sobre el empleo

ABOUT THE ROLE Join an early-stage engineering team building AI-powered tools for the freight and logistics sector. You will take ownership of core product development, combining hands-on full-stack engineering with production AI experimentation to shape the product and its technical direction. WHAT YOU'LL DO - Design, build, and maintain critical parts of the product. - Develop reliable full-stack features that help users work more efficiently. - Evaluate, benchmark, and fine-tune AI capabilities for accuracy and domain context. - Experiment with new models, frameworks, and agentic techniques, then ship and improve promising approaches based on data and user feedback. - Improve complex legacy code and build scalable infrastructure and automation for data and AI workloads. - Work closely with the founding team and engineering colleagues as a hands-on contributor. WHAT WE'RE LOOKING FOR - Typically 2 to 5 years of hands-on professional experience, or an equivalent track record through relevant projects. - Strong full-stack skills, with substantial experience building backend-heavy production applications and working across backend and cloud environments. - Fluency in Python; familiarity with Go is a plus. - Practical experience building or integrating production AI/ML systems, including LLM benchmarking, fine-tuning, and experimentation. - Experience delivering robust systems, working with complex codebases, and engineering for scale and automation. - Strong computer science fundamentals, autonomy, adaptability, and a high sense of ownership. Startup experience is preferred. COMPENSATION & BENEFITS Base salary: €60,000 to €90,000 annually. Equity participation is available. Visa sponsorship is not available. LOCATION Fully on-site in Munich, Bavaria, Germany. Candidates must be based in Munich or willing to relocate.
Respuesta del empleador

Respuesta del empleador

Responde al 67% de las solicitudes (muestra: 6)

Tiempo mediano de respuesta: 0,2 días

Muestra de 90 días, sin los últimos 7 días.

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