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Fever is a world-leading tech platform for culture and live entertainment, building AI-driven tools across Product Engineering to scale across 55+ countries. This backend engineering role focuses on robust, production-grade systems, with AI capabilities layered on top of solid software fundamentals.
Join a fast-moving AI & DevEx team to shape how Fever ships reliable, high-quality outputs across the company.
Hey there! We're Fever , the world's leading tech platform for culture and live entertainment.
Our mission? To democratize access to culture and entertainment. With our proprietary cutting-edge technology and data-driven approach, we're revolutionizing the way people engage with live entertainment.
Every month, our platform inspires over 300 million people in +55 countries (and counting) to discover unforgettable experiences while also empowering event creators with our data and technology, helping them scale, innovate, and enhance their events to reach new audiences.
Our results? We've teamed up with major industry leaders like Netflix, F.C. Barcelona, and Primavera Sound, presented international award-winning experiences, and are backed by several leading global investors! Impressive, right?
To achieve our mission, we are looking for bar-raisers with a hands-on mindset who are eager to help shape the future of entertainment!
Ready to be part of the experience?
Now, let's discuss this role and what you will do to help achieve Fever's mission.
We're building the team that defines how AI transforms Product Engineering at Fever. This is a backend engineering role first: you need strong software fundamentals to build systems that scale and hold up in production. The AI expertise builds on top of that foundation. You won't just use agents, you'll build the harnesses, evals, and infrastructure that make them ship reliable, high-quality output across the entire company.
You'll join the AI & DevEx team. Our mission is to raise the performance of Fever's whole Product Engineering organization, not just individual engineers, but entire squads (product, design, and engineering together) and everything that surrounds their work: CI/CD, observability, infrastructure, data, and how people communicate and coordinate. We look for the highest-leverage points in that chain and build AI-powered tools to improve them, always backed by measurement, not assumptions.