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.