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Founding Engineer (Full-Stack/AI)

On-site
CleraMunich, DE21 hours agoWebsite
Fresh
Full-time
Engineering

Compensation

Salary undisclosed
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Description

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.

Stack

LLMsPythonMachine LearningFine-tuning
Posted
Oct 29, 2026
Last seen
Oct 29, 2026
First seen
Oct 29, 2026

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