Senior Backend & AI Engineer (Remote)

Scalera

Zürich · Onsite · Full Time

Posted

Job description

This role is open only to candidates living in the EU or EEA. We can't consider applications from other locations. If you've built something before, start here The hardest part of a startup usually isn't the code. It's finding customers who really need what you build and getting them to change how they work. At Scalera, that part is done: manufacturers, suppliers and contractors across Switzerland, Austria and Germany already run their tenders through us every day. What we need now are people who can take the next unsolved problem and turn it into a product customers can't do without. If you've founded a company (whether it worked out or not), been the first engineer somewhere, or built something people paid for, this role was written for you. About Scalera Scalera is an ETH Zurich spin-off building AI for the €200B+ European construction industry. Large manufacturers and suppliers still run their most document-heavy processes by hand, from reading 300-page tenders to retyping purchase orders into their ERP. We automate them one by one. Our product matching already handles 1,400 tender positions in 16 minutes at 98% precision, work that used to take a sales rep most of a day. What you'll do You'll be part product manager, part engineer. You'll spend real time with customers and help shape what we build. Sometimes you'll spot the next problem yourself, and sometimes we'll hand you a clear priority to run with. Spend real time with customers. Join calls and site visits, sit with the people who do the work, and understand why they do it the way they do. You'll know their problems firsthand, not from a ticket. Shape what to build. Turn what you hear into a clear problem, a scope and a plan, and push back when the obvious request isn't the real need. When we bring you a priority, you'll own how it gets solved. Build it. Design and build backend services in Go and Python that turn messy tenders, catalogs and purchase orders into data customers can rely on. Ship, then check. Get it in front of customers fast, watch how they actually use it, and iterate. Own it in production. When something breaks at a customer, it's yours to understand and fix. Build with AI. Use AI heavily in how you work, and design systems that agents can use as well as people. What success looks like after 3 months There's a part of the product people now think of as yours, and you're the one…

Apply for this job