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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. The Role We're looking for a Lead AI Product Engineer to drive Fever's company-wide operational transformation. This is a powerful 50% leadership, 50% hands-on building 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. 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. What You'll Do Stakeholder Management & Discovery (50%): 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. Hands-on Engineering & Architecture (50%): Design, code, and deploy advanced AI systems (LLM applications, agentic workflows, RAG, and custom chatbots) that solve those operational pain points and scale seamlessly. Lead & Mentor: Build and lead a small, agile team of AI engineers. Lead by example by contributing to the codebase, setting high standards for code craftsmanship, and fostering a culture of high-velocity shipping. Own the Product Lifecycle: Take internal tools from early discovery and rapid prototyping to production-grade deployment, ensuring they are intuitive enough for non-technical teams to adopt. What We're Looking For The 50/50 Split: You love writing clean, scalable Python code and building AI systems, but you are equally energized by talking to people, understanding their daily operational frustrations, and solving their problems. Proven AI Product Delivery: Deep, hands-on experience shipping AI systems in production (LLM frameworks like LangGraph, LlamaIndex, or agentic automation) — ideally tools or chatbots that have actively optimized human workflows. Strong Operational Sense: You can naturally look at a messy, manual process and instantly visualize how an AI product could streamline it to save hours of manual labor. Solid Engineering Foundations: Strong software engineering background (APIs, microservices, databases, AWS ecosystem) combined with a pragmatic, outcome-driven mindset. Empathy & Communication: Exceptional ability to build relationships with non-technical stakeholders, navigate ambiguity, and align engineering efforts with operational needs. The environment Product-driven , action-oriented, and fast-moving. We value shipped code and tangible internal time-savings above all. We hire builders with empathy : people who own systems end-to-end, love solving human operational chaos, and turn it into smooth, AI-powered workflows. Leadership is collaborative, highly communicative, and technically sharp. This role is based in our Madrid office with a minimum of 3 days per week on-site. Benefits & Perks Responsibility from day one and professional and personal growth in one of the most exciting AI roles in the company. Opportunity to have a real impact in a high-growth global category leader. A compensation package consisting of base salary and the potential to earn a significant bonus for top performance. Stock options plan. 40% discount on all Fever events and experiences. Based in Madrid, with a home office friendly setup. Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee. English / Spanish lessons. Wellhub membership. Possibility to receive in advance part of your salary by Payflow. Thank you for considering joining Fever. We cannot wait to learn more about you! If you want to learn more about us: Fever's Blog | Tech.Eu | TechCrunch Fever is committed to creating an inclusive and diverse workspace where everyone's background and ideas count. Our main goal is to find the best possible talent regardless of place of birth, racial or ethnic origin, gender, gender identity, religion, opinion, sexual orientation, disability, pregnancy, marital status, age or caring responsibilities. We encourage everyone to apply! If you require any kind of accommodation during the selection process please contact our Talent team so we can help you by providing a welcoming and seamless journey. If you want to know more about how Fever processes your personal data, click here Fever - Candidate Privacy Notice
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.