This position is at Fever The selection process will be entirely managed by Fever.
-- 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 integral 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 Engineering teams operate, and we're building the team that defines what that looks like at Fever.
This is a software engineering role at its core .




We're looking for an outstanding Senior Software Engineer — someone who cares about code quality and not just getting things done, but getting them done right — who has built real AI and agent expertise on top of strong engineering fundamentals, and wants to ship it to production across the whole company.
You'll join the AI you get them done right.
Backend depth: RESTful APIs (implementation and consumption), relational databases and SQL, and the distributed and async / event-driven patterns (queues, messaging) behind high-traffic services.
End-to-end production ownership: CI/CD, observability and monitoring, infrastructure, and accountability for how your code behaves once it's live.
"Done" means healthy in production, not merged.
Proficient in business English.
At least the last 1–2 years deep in LLM applications shipped to production, not just prototyped — with a working command of the modern toolkit: context engineering, RAG, multi-agent systems and orchestration, and evals.
You build with agents, you don't just use them.
You've authored skills, sub-agents, evals, and verification harnesses yourself — and you can show us something real you built with agents and walk us through how you did it.
You think in measurements: baselines, before/after comparisons, and killing experiments that don't move the needle.
Bonus Points Public artefacts on agent harnesses, AI evaluation, developer experience, or AI-era engineering tooling — open source, talks, blog posts, papers.
Experience building internal tools or developer platforms, where other engineers are your users.
Comfort operating with ambiguity at startup speed — small teams, no playbook, decisions you can't outsource.
Benefits

📌 Ai Staff Engineer (Málaga)
🏢 Fever
📍 Málaga