Founding Engineer (Full-Stack/AI)

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.