🇳🇱 Netherlands · 21h ago
Exceptional Engineers (Python -> AI coding) - AI Native scale up - You are a true bar raiser - Solid runway (fresh funding) - Real e2e product impact - Significant equity package - Amsterdam
Sprint and Partners
LinkedInseniorVisa sponsorEnglish-friendly
We’re looking for exceptional engineers (mid, sr, staff+ levels) to join a well-funded, AI-native company with strong market-fit entering its next phase of growth. Due to a solid funding round the engineering team will scale by 10–15 people over the next 12 months, while remaining highly selective on all aspects. The team is still small with <12 people at the moment, so you are joining in the early days with mega upside for the equity packages.This isn’t a role for engineers operating within one layer of the stack. We’re looking for engineers who can switch naturally and smoothly between abstraction levels; architecture, high/low-level system design and hands-on implementation, while thinking product and customer first. The team is exceptional and we're targetting the bar raisers that worked on very complex, security sensitive problems at scale with modern tech.You will:Design, build and scale distributed, Python based backend systems using AI coding tools whilst always keeping standards for reliability, performance/scale, security and compliance in mindcontribute to a cloud agnostic, hybrid platform with cutting edge cloud/infra stackReally own technical problems end-to-end, from architecture through production and scalingWork with incredibly smart engineers that know what good looks like and have a lot of fun whilst building this unique and very impactful product that anyone can relate to.You don't care about titles, you care about; impact, ownership, accountability, speed and get in early to be part of this exciting growth journey!Comp is solid and the equity package makes it unique for Amsterdam standards.Visa sponsorship + 30% ruling is possible - We are not relocating talent at the moment.We work Hybrid with an office in Amsterdam.Sourced from LinkedIn. Relocantly aggregates public job postings; apply on the original site.