About the Role
Join an early-stage freight and logistics technology team building an AI-powered product to automate operational workflows. You will combine hands-on product engineering with AI experimentation and help shape the technical direction as the product scales.
What You'll Do
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Design, build, and maintain critical parts of the product, taking ownership from implementation through production.
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Develop reliable full-stack features that improve user efficiency.
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Evaluate, benchmark, and fine-tune AI capabilities for accuracy in domain-specific workflows.
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Experiment with new models, frameworks, and agent-based approaches in production, then iterate using data and user feedback.
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Improve complex legacy code and add structure to support scalability.
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Build infrastructure and automation for data-intensive and AI workloads.
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Work closely with company leadership and teammates as a hands-on, high-ownership contributor.
What We're Looking For
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Typically 2 to 3 years of professional experience, or relevant projects and another strong track record.
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Strong full-stack engineering skills, including substantial backend product-building experience and the ability to work across backend and cloud environments.
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Fluency in Python; familiarity with Go is a plus.
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Practical experience benchmarking, fine-tuning, and integrating LLMs, including running experiments in production.
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Experience building robust production systems, engineering for scale, automating systems, and working with complex legacy code.
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Strong computer science fundamentals, autonomy, adaptability, and a results-oriented approach.
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Startup or entrepreneurial experience is preferred. Logistics, freight, or supply-chain experience is also useful.
Compensation & Benefits
Base salary range: €60,000 to €90,000 annually. Equity participation is available, with options of up to 1% and possible additional grants. Visa sponsorship is not available.
Location
Fully on-site in Munich, Bavaria, Germany. Candidates should be based in Munich or willing to relocate.
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