About the Role
Join an early-stage engineering team building AI-powered software for the freight and logistics sector. You will take ownership of core product architecture and development, combining hands-on full-stack engineering with practical AI experimentation to improve how logistics teams work.
What You'll Do
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Design, build, and maintain critical parts of the product.
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Develop reliable full-stack features that help users work more efficiently.
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Evaluate, benchmark, and fine-tune AI capabilities for accuracy and relevance.
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Experiment with models, frameworks, and agent techniques, then deploy promising approaches and improve them using user feedback and data.
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Improve complex legacy code to support greater structure and scalability.
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Build infrastructure and automation for data-intensive and AI workloads.
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Work closely with the founding team as a hands-on, high-ownership engineer.
What We're Looking For
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Typically 2 to 3 years of professional experience, or relevant projects and other evidence of capability.
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Strong full-stack and backend product-building experience, including production systems and cloud environments.
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Fluency in Python; familiarity with Go is a plus.
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Practical experience building or operating AI/ML systems, including LLM integration, benchmarking, fine-tuning, and production experimentation.
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Comfort working with complex codebases, engineering for scale, and automating systems.
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Independent, adaptable, and results-oriented, with strong computer science fundamentals and an entrepreneurial mindset.
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Experience in logistics, freight, supply chain, startups, or entrepreneurial projects is helpful.
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.
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