AI Engineering Lead

<div class="content-intro"><p>Hey there! <br>We’re <a href="https://feverup.com/">Fever</a>, the world’s leading tech platform for culture and live entertainment.</p> <p>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. <br><br>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. </p> <p>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? </p> <p>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!<br><br>Ready to be part of the experience? </p> <p>Now, let’s discuss this role and what you will do to help achieve Fever’s mission.</p></div><h3><strong>The Role</strong></h3> <p>We're looking for a <strong>Lead AI Engineer</strong> to drive Fever's company-wide AI transformation. This is a powerful <strong>50% leadership, 50% hands-on building</strong> role designed for someone who sits right at the intersection of human operations and advanced AI engineering. We are not looking for a theoretical manager who focus on KPIs, nor a developer who only wants to code in isolation.</p> <p>We need a hybrid leader. Half of your time will be spent interacting with stakeholders across business domains (Operations, Creative, Support), shadowing them to understand their manual workflows, and identifying where AI can genuinely give them their time back. The other half will be spent in the trenches: designing the technical architecture, writing production code, and building internal AI products—like advanced chatbots, agents, and automated workflows—alongside a small, high-performance squad.The Role</p> <h3><br><strong>What You'll Do</strong></h3> <ul> <li><strong>Stakeholder Management & Discovery (50%):</strong> Partner with internal business leaders to audit their current manual processes. Act as a translator: understand their operational bottlenecks, manage expectations on what AI can do, and shape those needs into a clear AI product features.</li> <li><strong>Hands-on Engineering & Architecture (50%):</strong> Design, code, and deploy advanced AI systems (LLM applications, agentic workflows, RAG, and