Founding Engineer, Full-Stack/AI (m/w/d)

Clera

Munich, Germany

On-site

Who this role is best for

Strong fit for engineers with startup experience who can build and refine AI systems in logistics, working on-site in Munich with high ownership across full-stack and backend development.

Best fit for

Engineers with a background in AI or LLM integration and a preference for on-site work in Munich
— “On-site in Munich, Bavaria, Germany.”
Candidates who have experience in building scalable systems and are comfortable with complex codebases
— “Experience building robust production systems, engineering for scale, automating systems, and working with complex codebases.”
Individuals with a strong command of Python and a willingness to experiment with AI models
— “Fluency in Python; familiarity with Go is a plus.”

Things to consider

The role demands a high level of autonomy and ownership, not just execution of tasks
— “Work closely with company leadership and teammates as a hands-on, high-ownership contributor.”

How to stand out

Highlight your experience in fine-tuning AI systems for production use in your resume and interviews
— “Hands-on experience benchmarking, fine-tuning, and integrating AI or LLM systems in production.”
Emphasize your ability to work across cloud environments and maintain scalable infrastructure
— “Strong full-stack engineering skills, with substantial backend product-building experience and confidence working across cloud environments.”
Showcase your adaptability and autonomous approach through specific project examples
— “Strong spoken English, sound computer science fundamentals, adaptability, and an autonomous, results-oriented approach.”

Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

shaped core architecture
delivered reliable full-stack features
improved complex existing code

Typical background

2 to 3 years of professional experiencestartup or entrepreneurial experience

Skills & requirements

Required

Full-stack EngineeringBackend Product-buildingCloud EnvironmentsPythonAI SystemsProduction SystemsScaleAutomationComplex Codebases

Preferred

GoLLM SystemsLogistics Technology

Stack & domain

PythonGoAILLMCloud EnvironmentsProduction SystemsAutomationComplex CodebasesLeadershipCommunicationAdaptabilityAutonomousResults-orientedFreightLogistics

About the role

Original posting from Clera via Ashby

ABOUT THE ROLE
Join an early engineering team building AI-powered software for freight and logistics operations. You will shape core architecture, own product development across the stack, and put practical AI capabilities into production to help users work more efficiently.
WHAT YOU'LL DO
Design, build, and maintain critical parts of the product, delivering reliable full-stack features.
Evaluate, benchmark, and fine-tune AI systems to improve their accuracy and usefulness in a specialist domain.
Experiment with new models, frameworks, and agent-based techniques, then ship and refine effective approaches using data and user feedback.
Improve complex existing code, infrastructure, and automation to support scale and data-intensive workloads.
Work closely with company leadership and teammates as a hands-on, high-ownership contributor.
WHAT WE'RE LOOKING FOR
Typically 2 to 3 years of professional experience, or relevant projects and other evidence of ability.
Strong full-stack engineering skills, with substantial backend product-building experience and confidence working across cloud environments.
Fluency in Python; familiarity with Go is a plus.
Hands-on experience benchmarking, fine-tuning, and integrating AI or LLM systems in production.
Experience building robust production systems, engineering for scale, automating systems, and working with complex codebases.
Strong spoken English, sound computer science fundamentals, adaptability, and an autonomous, results-oriented approach.
Startup or entrepreneurial experience and interest in logistics technology are helpful.
COMPENSATION & BENEFITS
Annual salary range: EUR 60,000 to EUR 90,000. Equity participation is available through options of up to 1%, with potential for additional grants. Visa sponsorship is not available.
LOCATION
On-site in Munich, Bavaria, Germany.

Source: Clera careers (Ashby)