Clera
Founding Engineer (Full-Stack/AI)
- Compensation
- Not disclosed
- Location
- Munich
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 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.
Full 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.