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EmploymentFull-time
Overview
ABOUT THE ROLE
Full job description
ABOUT THE ROLE This is an early engineering hire at a seed-stage AI logistics startup, joining a small founding team to build and scale the core product that makes freight forwarding operations autonomous. You will drive critical architecture decisions, ship full-stack features, and push AI capabilities in production, directly shaping the company's technical direction from the ground up. WHAT YOU'LL DO
- Own the design, development, and maintenance of the most critical parts of the product.
- Build reliable full-stack features that make users measurably more efficient.
- Evaluate, benchmark, and fine-tune AI capabilities to maximize domain accuracy and context.
- 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
- Hands-on experience with AI/ML and LLM systems: benchmarking, fine-tuning, and integrating models in production.
- Practical logistics or freight-forwarding domain knowledge.
- Strong full-stack engineering skills with fluency across backend and cloud environments.
- Fluency in Python; familiarity with Go is a strong plus.
- Proven track record building robust, real-world production systems (not primarily mobile or narrowly algorithmic/computer-vision work).
- Comfort working with complex legacy codebases, automating systems, and engineering for scale.
- Startup or entrepreneurial experience, with founder-level drive, ownership, and adaptability.
- Strong CS fundamentals, intellectual humility, and exceptional self-discipline.
- Around 2 to 3 years of professional experience, though strong project track records are equally welcome.
- Fluent spoken English sufficient for fluid technical discussion.
- Willingness to work on-site in Munich or to relocate. COMPENSATION & BENEFITS Salary range: 60,000 to 90,000 EUR annually. Equity participation via options (up to approximately 1.5%) is available as part of an early-hire package. Visa sponsorship is not available. LOCATION On-site in Munich, Bavaria, Germany. This is not a remote role.
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