AI Engineering Lead

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.

Behind the user-friendly iOS and Android apps and webpage that work across the world is the engineering team.  We are in charge of creating, developing, improving, and maintaining all Fever services so that more people can have an amazing experience.

About the role

AI is changing how product and engineering teams operate, and we're building the team that defines what that looks like at Fever.

Your scope is the AI substrate that makes both engineering and product workflows faster, higher-quality, and more leveraged at Fever. You'll lead a team, partner with peers across engineering and product, and report to the Head of Engineering, AI & DevEx.

What you'll own

• Your team. Lead, mentor, and grow a team of AI engineers.
• The metrics the team is accountable to. Lead time idea→shipped, cost per shipped feature, harness shippable-output rate, human intervention rate. Make the work answerable to numbers.
• The agentic harness for product and engineering - the skills, sub-agents, guardrails, and verification that make agents produce shippable output, not suggestive output, across the whole software lifecycle. Plus the shared knowledge-base infrastructure these agents read from and write into. You own how good it is and how widely it's adopted.
• Evaluation infrastructure. A measurement substrate that lets every harness change land on signal, not vibes. The discipline of naked baselines and "ship only on a measured improvement" is non-negotiable.
• Inference economics. Bound the cost of every AI-driven workflow at Fever. Decide model routing, caching strategy, and when self-hosted open-source wins versus frontier models on the joint quality + cost frontier.

About you

• You're an AI Engineer. You build on top of foundation models - prompt engineering, RAG, agent orchestration, evaluation, fine-tuning when it's the right tool - and you ship those systems to production. You don't need to train models from scratch; you need to make the ones that exist do useful work reliably.
• You build with agents, you don't just use them. You've authored skills, sub-agents, evals, or verification harnesses yourself. You can ship an experiment one week and ship its replacement the next.
• Engineering bar. Testing, design patterns, CI/CD, observability - non-negotiable. The harness ships code; the team that builds it has to know what good code looks like. Strong opinions, weakly held. Full ownership.
• Product sense. You know what makes a phenomenal product experience, and you can imagine the agents that get PMs and designers to the right artefact faster. You don't see "AI for product" as someone else's problem.
• Builder-leader, not pure manager. You can run a room with executives, the keyboard in a pairing session, and a 1:1 with a senior engineer - all in the same week.
• You think in measurements. Comfortable with naked baselines, continuous-delivery rules, and killing experiments that don't move the needle. You've been right and wrong, on the record, with a number to prove it.
• Inference economics fluency. You know when self-hosted open-source wins, when frontier is worth the price, and how prompt caching, model routing, and tool-list pruning bend the curve.
• 5+ years building production software, with at least the last 1-2 deep in LLM applications, agents, and AI tooling.

Bonus Points

• Public artefacts on agent harnesses, AI evaluation, or AI-era engineering - open source, talks, blog posts, papers.
• Experience leading through ambiguity at startup-scale: small teams, no playbook, decisions you can't outsource.
• Background in evaluation infrastructure, RAG retrieval design, or agent orchestration frameworks.

Benefits & Perks

• Attractive compensation package consisting of base salary and the potential to earn a significant bonus for top performance.
• Stock options.
• Opportunity to have a real impact in a high-growth global category leader
• 40% discount on all Fever events and experiences
• Home office friendly
• Responsibility from day one and professional and personal growth
• Great work environment with a young, international team of talented people to work with!
• Health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee.
• English Lessons
• We have free food, drink and fruit at the office!
• 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