Summary
✨ AI‑Generated
Join a small seed-stage team as an early engineering hire and help shape a technology platform from the ground up. You will own critical product areas, build full-stack features, evaluate and fine-tune AI capabilities, experiment with emerging models and agentic techniques, and improve complex legacy systems while developing scalable infrastructure.
Highlights
Early engineering role with high ownership and significant influence over product and technical direction, combining full-stack development, AI experimentation, infrastructure, and product thinking.
Description
About The Role
This is an early engineering hire at a seed-stage AI logistics startup, joining a small, high-ownership team building technology to make global freight forwarding operations autonomous.
You'll shape the core product and technical direction from the ground up — combining full-stack engineering, AI experimentation, and product thinking in equal measure.
What You'll Do
Own and personally design, build, and maintain the most critical parts of the product.
Build reliable full-stack features that make users radically more efficient in their day-to-day workflows.
Evaluate, benchmark, and fine-tune AI capabilities to maximise domain accuracy and contextual performance.
Continuously experiment with new model releases, frameworks, and agentic techniques in production.
Ship promising approaches quickly and iterate based on data and user feedback.
Navigate and improve large-scale, complex legacy codebases to add structure and scalability.
Engineer infrastructure and automation to support heavy data and AI workloads.
Collaborate closely with founders and teammates as a hands-on, high-ownership contributor.
What We're Looking For
Founder-level drive, adaptability, extreme ownership, and a results-oriented, autonomous work style.
Hands-on AI/ML/LLM experience is essential — including benchmarking, fine-tuning, integrating LLMs, and running experiments in production.
Strong full-stack engineering ability with fluency across backend and cloud environments.
Fluent in Python; familiarity with Go is a strong plus.
Comfort engineering for scale, automating systems, and working with complex legacy codebases.
Strong CS fundamentals, intellectual humility, and exceptional self-discipline.
2–3 years of professional experience preferred, though strong project track records are equally welcome.
Prior startup or entrepreneurial experience is a plus.
Enthusiasm for working on-site in Munich.
Compensation & Benefits
Salary range: €60,000 – €90,000 annually.
Early employees are eligible for meaningful equity participation (options up to ~1.5%).
Visa sponsorship is not available for this role.
Location
On-site in Munich, Bavaria, Germany.
