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.