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.