Overview In this role, you will lead Fever's AI engineering team to build the AI substrate that accelerates product and engineering workflows. You'll partner with peers across engineering and product to ship robust, production-ready AI capabilities, beyond experimental prompts. You'll own measurable outcomes like time-to-ship and cost per feature, shaping how AI is used across Fever's software lifecycle.

This is a hands-on leadership role in a fast-growing, general company driving transformation through AI. You'll join a mission-driven team building scalable, high-impact AI tooling for live entertainment.

Compensaciones / Incentivos base salary with potential significant bonus stock options

40% discount on Fever events home office friendly health insurance and flexible remuneration via Cobee

English lessons

Responsabilidades Lead, mentor and grow a team of AI engineers

Define and track team metrics (lead time to ship, cost per shipped feature, harness adoption)

Own the agentic harness, including sub-agents, guardrails and verification across the software lifecycle

Develop and maintain evaluation infrastructure and baselines for ignition of AI improvements





Decide on inference economics: model routing, caching, and when to use self-hosted vs frontier models

Ensure production-readiness with strong CI/CD, observability, and engineering standards

Shape product impact by designing AI workflows that accelerate PMs and designers

Requisitos principales 5+ years building production software

1–2 years (at least) deep in LLM applications, agents, and AI tooling

Experience shipping systems on top of foundation models (prompt engineering, RAG, agent orchestration, evaluation)

Ability to ship experiments quickly and iteratively replace them

Strong emphasis on testing, design patterns, CI/CD, and observability

Builder-leader with ability to interact with executives and engineers in the same week

Comfort with measurements, naked baselines, and data-driven decision making

Understanding of inference economics and model routing/caching decisions leadership and mentorship data-driven decision making strong product sense foundation models prompt engineering

RAG (retrieval-augmented generation)

📌 AI Engineering Lead (Vigo)
🏢 Fever
📍 Vigo