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Publication date: 07/11/2026
About the Role
Join an early-stage engineering team building AI-powered software for the freight and logistics sector. You will take ownership of core product architecture and development, combining hands-on full-stack engineering with practical AI experimentation to improve how logistics teams work.
Compensation & Benefits
Base salary: €60,000 to €90,000 annually. Equity participation is available. Visa sponsorship is not available.
Location
Fully on-site in Munich, Bavaria, Germany. Candidates must be based in Munich or willing to relocate.
Join an early-stage engineering team building AI-powered software for the freight and logistics sector. You will take ownership of core product architecture and development, combining hands-on full-stack engineering with practical AI experimentation to improve how logistics teams work.
Compensation & Benefits
Base salary: €60,000 to €90,000 annually. Equity participation is available. Visa sponsorship is not available.
Location
Fully on-site in Munich, Bavaria, Germany. Candidates must be based in Munich or willing to relocate.
Responsibilities
Design, build, and maintain critical parts of the product.; Develop reliable full-stack features that help users work more efficiently.; Evaluate, benchmark, and fine-tune AI capabilities for accuracy and relevance.; Experiment with models, frameworks, and agent techniques, then deploy promising approaches and improve them using user feedback and data.; Improve complex legacy code to support greater structure and scalability.; Build infrastructure and automation for data-intensive and AI workloads.; Work closely with the founding team as a hands-on, high-ownership engineer.Requirements
Typically 2 to 3 years of professional experience, or relevant projects and other evidence of capability.; Strong full-stack and backend product-building experience, including production systems and cloud environments.; Fluency in Python, familiarity with Go is a plus.; Practical experience building or operating AI/ML systems, including LLM integration, benchmarking, fine-tuning, and production experimentation.; Comfort working with complex codebases, engineering for scale, and automating systems.; Independent, adaptable, and results-oriented, with strong computer science fundamentals and an entrepreneurial mindset.; Experience in logistics, freight, supply chain, startups, or entrepreneurial projects is helpful.How to apply
Apply online: https://www.jobs.pl/en/oferta/101819258/aplikuj
JOBS.pl · https://www.jobs.pl/uk/founding-engineer-full-stack-ai-oferta-101819258








