Job
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EmploymentFull-time
Overview
ABOUT THE ROLE
Full job description
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
- Design, build, and maintain critical parts of the product, taking ownership from implementation through production.
- Develop reliable full-stack features that improve user efficiency.
- Evaluate, benchmark, and fine-tune AI capabilities for accuracy in domain-specific workflows.
- Experiment with new models, frameworks, and agent-based approaches in production, then iterate using data and user feedback.
- Improve complex legacy code and add structure to support scalability.
- Build infrastructure and automation for data-intensive and AI workloads.
- Work closely with company leadership and teammates as a hands-on, high-ownership contributor. WHAT WE'RE LOOKING FOR
- Typically 2 to 3 years of professional experience, or relevant projects and another strong track record.
- Strong full-stack engineering skills, including substantial backend product-building experience and the ability to work across backend and cloud environments.
- Fluency in Python; familiarity with Go is a plus.
- Practical experience benchmarking, fine-tuning, and integrating LLMs, including running experiments in production.
- Experience building robust production systems, engineering for scale, automating systems, and working with complex legacy code.
- Strong computer science fundamentals, autonomy, adaptability, and a results-oriented approach.
- 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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