Lead AI Engineer at Fever
Jobicy is hiring a Lead AI Engineer at Fever for a remote role open to applicants in Spain. Level rates it ; you can apply on Jobicy.
Source: Jobicy. Level lists this role from Jobicy; you apply on their page.
Level's read on this job
- On Level's scale, this AI engineer role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting lists this role as remote.
- Tools and skills the posting cites include LlamaIndex, LangGraph and RAG.
- Level lists 46 other open roles at Jobicy.
- The role was posted in the last few days.
AI in this role
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 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.The Role
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 Spain.
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
How we rate this
Lead AI Engineer at Fever at Jobicy rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of LlamaIndex that you've run into, and how did you work around them?
- What's a project where you used LangGraph hands-on?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, LlamaIndex, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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