About the Role
This is an early engineering hire at a logistics AI startup, joining a small, high-ownership team building technology that makes global freight forwarding operations autonomous. You will drive critical architecture decisions, ship full-stack features, and push AI capabilities forward, directly shaping the product and its technical direction from the ground up.
What You'll Do
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Design, build, and maintain the most critical parts of the core product end to end.
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Build reliable full-stack features that make users radically more efficient in their daily workflows.
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Evaluate, benchmark, and fine-tune AI capabilities to maximize domain accuracy and context.
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Continuously experiment with new model releases, frameworks, and agentic techniques in production.
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Ship promising approaches quickly and iterate based on data and user feedback.
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Navigate and improve large-scale legacy codebases to add structure and scalability.
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Engineer infrastructure and automation to support heavy data and AI workloads.
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Collaborate closely with founders and teammates as a hands-on, high-ownership contributor.
What We're Looking For
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Founder-level drive, extreme ownership, and a results-oriented, autonomous work style.
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Around 2 to 3 years of professional experience, though strong projects or a relevant track record can substitute.
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Strong full-stack engineering ability with fluency across backend and cloud environments.
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Fluent in Python; familiarity with Go is a strong plus.
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Practical, hands-on experience with AI and ML systems: benchmarking, fine-tuning, integrating LLMs, and running experiments in production.
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Comfort engineering for scale, automating systems, and working in complex legacy codebases.
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Strong CS fundamentals, intellectual humility, and exceptional self-discipline.
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Prior startup or entrepreneurial experience is preferred.
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Enthusiasm for on-site work in Munich.
Compensation & Benefits
Salary range: 60,000 to 90,000 EUR annually. Equity participation via options is available for this early hire. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany.
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