AI Engineer: Lead the Learning Factory MVP

SAEKI Robotics; Kloten; On-site; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Job summary

SAEKI Robotics in Zurich is seeking an AI Lead to own the learn-and-apply steps of our knowledge loop. You will define data needs, collaborate with software engineers, and build an MVP that engineers and operators use within weeks.

You will decide what to build, show measurable learning in the factory, and grow into the AI Lead role as your MVPs prove themselves. Regular shop-floor time in Munich complements the Zurich HQ role.

Qualifications

• Several years shipping ML or LLM systems used by real users.
• Stack: Python, SQL and data engineering; comfortable from raw data to deployed tool.
• Experience starting from zero data: you have designed what to capture and then built a tool on it.
• Pragmatism: you use whatever method works, from a rule to an agent, judged by what helps the operator.
• Curiosity for the physical world: you want to stand next to the machine and understand the operator's decision.
• Clear writing and the ability to explain results and their limits.
• Bonus: manufacturing, additive, CNC, CAD or geometry data; startup experience.
• Language: English; German is a plus for shop-floor conversations.
• On-site: Zurich, Switzerland; time on the shop floor in Munich, Germany.

Responsibilities

• Identify the key bet: the decision in our factory, from quoting to quality, where learning from data pays off most
• Define, with our software engineers, what data we capture from day one
• Build the first learning-factory MVP yourself and put it in front of engineers and operators within weeks
• Decide what to build, what to buy and when a model is good enough to trust
• Show the company and our investors, with numbers, that the factory is learning
• Grow into the AI Lead role once your MVPs are proven

Skills

ML/LLM systems

Python

SQL

Data engineering

English

German a plus

Job description

SAEKI Robotics in Zurich is seeking an AI Lead to own the learn-and-apply steps of our knowledge loop. You will define data needs, collaborate with software engineers, and build an MVP that engineers and operators use within weeks.

You will decide what to build, show measurable learning in the factory, and grow into the AI Lead role as your MVPs prove themselves. Regular shop-floor time in Munich complements the Zurich HQ role.