About the Role
Join an early-stage freight and logistics technology team as a hands-on founding engineer. You will shape the core product and technical direction by combining full-stack product engineering with practical AI experimentation.
What You’ll Do

• Design, build, and maintain critical product components, taking ownership from architecture through delivery.

• Develop reliable full-stack features that improve user efficiency.

• Evaluate, benchmark, and fine-tune AI capabilities for accuracy and domain relevance.

• Experiment with models, frameworks, and agent techniques in production, then iterate using data and user feedback.

• Improve complex legacy code and build scalable infrastructure and automation for data and AI workloads.

• Work closely with the founding team and colleagues as a hands-on, high-ownership contributor.

What We’re Looking For

• Typically 2 to 3 years of professional experience, or equivalent relevant projects and demonstrated ability.

• Strong full-stack engineering skills, including substantial backend product development and experience working across cloud environments.

• Fluency in Python; familiarity with Go is a plus.

• Practical experience building or integrating production AI/ML or LLM systems, including benchmarking, fine-tuning, and experimentation.

• Evidence of building robust production systems, with comfort working at scale, automating systems, and improving complex codebases.

• Strong computer science fundamentals, adaptability, self-direction, and a high sense of ownership.

• Startup or entrepreneurial experience is valued. Freight, logistics, or supply-chain experience is a plus.

Compensation & Benefits
Base salary: €60,000 to €90,000 annually. Equity participation is available, with options of up to 1% and potential top-ups. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany. Candidates should be based in Munich or willing to relocate.

About the Role
Join an early-stage freight and logistics technology team as a hands-on founding engineer. You will shape the core product and technical direction by combining full-stack product engineering with practical AI experimentation.
What You’ll Do

• Design, build, and maintain critical product components, taking ownership from architecture through delivery.

• Develop reliable full-stack features that improve user efficiency.

• Evaluate, benchmark, and fine-tune AI capabilities for accuracy and domain relevance.

• Experiment with models, frameworks, and agent techniques in production, then iterate using data and user feedback.

• Improve complex legacy code and build scalable infrastructure and automation for data and AI workloads.

• Work closely with the founding team and colleagues as a hands-on, high-ownership contributor.

What We’re Looking For

• Typically 2 to 3 years of professional experience, or equivalent relevant projects and demonstrated ability.

• Strong full-stack engineering skills, including substantial backend product development and experience working across cloud environments.

• Fluency in Python; familiarity with Go is a plus.

• Practical experience building or integrating production AI/ML or LLM systems, including benchmarking, fine-tuning, and experimentation.

• Evidence of building robust production systems, with comfort working at scale, automating systems, and improving complex codebases.

• Strong computer science fundamentals, adaptability, self-direction, and a high sense of ownership.

• Startup or entrepreneurial experience is valued. Freight, logistics, or supply-chain experience is a plus.

Compensation & Benefits
Base salary: €60,000 to €90,000 annually. Equity participation is available, with options of up to 1% and potential top-ups. Visa sponsorship is not available.
Location
On-site in Munich, Bavaria, Germany. Candidates should be based in Munich or willing to relocate.