Mach aus dieser Rolle ein Vorstellungsgespräch — ein Lebenslauf und ein Anschreiben, die darauf ausgerichtet sind, was dieser Arbeitgeber sucht.
RxREVU, Inc. is hiring an early engineering contributor to shape the product and technical direction from the ground up. You will drive architecture decisions, ship full‑stack features, and push AI capabilities forward in a high‑ownership, hands‑on role.
Expect autonomous work style, strong CS fundamentals, and collaboration with founders in Munich. You will work across backend and cloud environments, benchmark and fine‑tune AI systems, and iterate quickly based on data and user feedback while
This is an early engineering hire at a logistics AI startup, joining a small, high-ownership team building technology that makes global freight forwarding operations autonomous. You will drive critical architecture decisions, ship full-stack features, and push AI capabilities forward, directly shaping the product and its technical direction from the ground up.
Design, build, and maintain the most critical parts of the core product end to end.
Build reliable full-stack features that make users radically more efficient in their daily workflows.
Evaluate, benchmark, and fine-tune AI capabilities to maximize domain accuracy and context.
Continuously experiment with new model releases, frameworks, and agentic techniques in production.
Ship promising approaches quickly and iterate based on data and user feedback.
Navigate and improve large-scale legacy codebases to add structure and scalability.
Engineer infrastructure and automation to support heavy data and AI workloads.
Collaborate closely with founders and teammates as a hands-on, high-ownership contributor.
Founder-level drive, extreme ownership, and a results-oriented, autonomous work style.
Around 2 to 3 years of professional experience, though strong projects or a relevant track record can substitute.
Strong full-stack engineering ability with fluency across backend and cloud environments.
Fluent in Python; familiarity with Go is a strong plus.
Practical, hands-on experience with AI and ML systems: benchmarking, fine-tuning, integrating LLMs, and running experiments in production.
Comfort engineering for scale, automating systems, and working in complex legacy codebases.
Strong CS fundamentals, intellectual humility, and exceptional self-discipline.
Prior startup or entrepreneurial experience is preferred.
Enthusiasm for on-site work in Munich.
Salary range: 60,000 to 90,000 EUR annually. Equity participation via options is available for this early hire. Visa sponsorship is not available.
On-site in Munich, Bavaria, Germany.