AI Engineer

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

Benefits offered by this job

Competitive salary + equity

Job summary

SAEKI is seeking an AI/ML lead to own the learn and apply steps of our knowledge loop. You will define what data to capture, build an MVP and deploy it to engineers on the shop floor in Zurich and Munich.

You will drive decisions on build vs buy and prove the factory learning with numbers to the team and investors. You will join a small Manufacturing Intelligence team reporting to the VP of Manufacturing Intelligence, with compensation in salary plus equity and on-site work at Zurich HQ and

Qualifications

• Several years shipping ML or LLM systems used by real users.
• Strong Python, SQL and data engineering skills.
• Experience starting from zero data and building data capture tools.
• Pragmatic, results-driven with operator-facing impact.
• Curiosity about the physical world and understanding shop-floor decisions.
• Excellent written communication.
• Bonus: manufacturing, CAD data or startup experience.

Responsibilities

• Identify the key bet and the learning opportunity in our factory processes.
• Define data to capture from day one with the software team.
• Build the first learning-factory MVP and present to engineers within weeks.
• Decide what to build, buy and when a model is trustworthy.
• Demonstrate learning with data to company leadership and investors.
• Grow into the AI Lead role after MVPs prove value.

Skills

ML systems

Python

SQL

Data engineering

Zero-data design

English fluency

Tools

Python tooling

Job description

SAEKI - Autonomous factories for the free world

SAEKI builds autonomous factories for the free world. Born in Switzerland and scaling from our factory in Munich, we deliver the most demanding mission-critical parts at a speed and volume traditional suppliers cannot match. Our software learns from every part we make and carries that knowledge into every machine and every factory we add. We are building the industrial base that ensures the free world outbuilds any rival. We build factories that learn. We sell tangible parts, not software: every part we make produces data on design, cost, process and quality. Our bet is that a factory which learns from that data makes each next part faster, better and with fewer people, and that what one factory learns, every new factory applies.

The Role

You own the learn and apply steps of our knowledge loop: you say what data the key bet needs and turn it into decisions that engineers and operators use every week. Concretely, you will:

• 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 weeksli>
• 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

What We're Looking For

• Several years shipping ML or LLM systems that real users depended on
• Stack: Strong 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 in front of you
• 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; early-stage startup experience
• Language: English. German is a plus for shop-floor conversations.
• On-site: Ability to work in person at Zurich, Switzerland, with regular time on the shop floor at Factory ONE in Munich, Germany.

What We're Not Looking For

• Researchers without a user: every model you build here has a factory user, or it is dropped
• Someone who needs clean data, a platform and a team before they can ship
• Someone who wants to manage first and build later: the lead role is earned by proven MVPs
• Generic ERP, MES or QMS feature work, or machine interaction: other teams own these

What We Offer

• Mission: Rebuild the industrial sovereignty of the free world. What your systems learn in Factory ONE, every next factory applies.
• The Environment: A real factory as your lab, with direct access to the people who run it, and ownership of the core of SAEKI's value proposition from day one.
• The Team: A small, generalist Manufacturing Intelligence team that ships, reporting to the VP of Manufacturing Intelligence.
• Compensation: Competitive salary + equity.
• Location: Zurich HQ

About Us

SAEKI builds autonomous factories for the free world. Headquartered in Zurich with our first scale factory, Factory ONE, in Munich, we combine advanced manufacturing with software that learns from every part we make. Our mission is to eliminate the industrial bottlenecks that limit human progress.