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 Engineer to drive Fever's company-wide AI transformation. This is a high-impact role for someone who can build and lead small, high-performance specialist teams that ship AI initiatives across large business domains — from business development and creative production to investment decisions, operations, and customer experience. Your focus is applying AI to transform how the business operates. You'll stay at the cutting edge of AI technology being developed around the world and translate it into practical, high-leverage applications inside Fever — automating workflows, augmenting decision-making, and unlocking capabilities that weren't possible before. You'll partner with senior leaders across the company to identify the highest-leverage opportunities, assemble the right squad to tackle them, and deliver production-grade AI products that change how Fever operates at scale. This role combines deep technical excellence, hands-on system design, team leadership, and strategic stakeholder management. You'll set the bar for what AI engineering looks like at Fever and shape how the company adopts AI across every function.
What you'll do Lead Fever's AI transformation across multiple business domains, identifying where AI can unlock the largest impact and shaping the roadmap to get there. Build and lead small, high-performance specialist teams — embedding with business stakeholders to ship AI products end-to-end, from problem framing to production. Design and ship advanced AI systems combining LLMs, agents, retrieval, and orchestration layers, optimized for real business outcomes rather than benchmarks — including high-volume, low-latency production workflows. Define best practices for AI engineering at Fever: evaluation, observability, cost control, prompt and model governance, safety, and long-term maintainability. Hire, mentor, and grow AI engineers, fostering a culture of ownership, craftsmanship, and high velocity. Act as a trusted advisor to senior leadership across business domains, translating AI capabilities into concrete strategy and managing expectations on what's feasible, when, and at what cost.
What we're looking for Strong software engineering foundations with hands-on experience in Python, building scalable production systems (event-driven architectures, microservices, APIs, databases). Deep, hands-on experience designing and shipping AI systems in production — LLM applications, agentic workflows, RAG, fine-tuning, or orchestration frameworks (LangGraph, LlamaIndex, DSPy, or similar) — ideally having delivered something similar at another company. Solid grasp of the modern AI stack: foundation model APIs (OpenAI, Anthropic, Google), vector databases, evaluation frameworks, prompt engineering, and inference optimization. Comfortable with AWS, Docker, Kubernetes, CI/CD, and observability tooling for AI workloads. Strong product sense and stakeholder management skills — ability to navigate ambiguity, prioritize ruthlessly for impact, and align engineering work with business goals. Track record of leading projects across multiple teams and of hiring, mentoring, and growing engineers.
Bonus points for Experience building agentic systems or AI-powered automation that replaces or augments human workflows at scale. Familiarity with the broader AI/ML platform ecosystem (LangSmith, Langfuse, Weights & Biases, MLFlow) and applied ML at scale (recommenders, ranking, search). Side projects, open-source contributions, or published work in applied AI. The environment Product-driven, cloud-native (AWS), fast-moving team with direct line of sight to business impact. We care about code quality, performance, testability, evaluation rigor, and long-term maintainability. We hire builders: people who own systems end-to-end and turn ambiguity into shipped products. Leadership is hands-on and collaborative — setting the pace through initiative, example, and accountability. This role is based in our Madrid office. We work in a hybrid setup with strong in-person collaboration, so being on the ground in Madrid is essential for embedding with business teams across the company.
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
