Overview
¿Tiene las habilidades necesarias para este puesto? Lea todos los detalles a continuación y presente su candidatura hoy mismo.
In Fever’s AI & DevEx squad, you will shape production-grade AI-powered software that accelerates the entire Product Engineering org. You’ll own end-to-end delivery across agent harness, knowledge base, and autonomous delivery rails, with strong emphasis on testing and observability. You’ll partner with squads to ship impactful AI-enabled workflows at scale. This is a chance to influence how AI augments engineering and delivery across Fever.
Compensaciones / Ventajas
base salary plus potential bonus
stock options
40% discount on Fever events
home office-friendly
health insurance
flexible remuneration via Cobee
Responsabilidades
Build and improve the agentic harness: skills, sub-agents, guardrails, tools, and verification for high-quality output
Develop a shared knowledge-base substrate that compounds across Fever
Own the delivery substrate and autonomous rails: cloud environments, CI runtime, ephemeral environments, migration tooling
Shape AI usage across a squad’s workflows, tooling, and coordination to reduce friction
Create evaluation and measurement infrastructure with baselines and metrics that matter




Optimize inference economics: model routing, prompt caching, and cost-aware decision making
Drive real adoption by ensuring tools are used effectively by squads
Maintain engineering excellence: testing, patterns, CI/CD, observability
Ensure end-to-end production ownership and live-issue accountability
Requisitos principales
5+ years building and operating production software at meaningful scale
Strong software design fundamentals: testing, design patterns, clean architecture
Backend depth: RESTful APIs, relational databases, async/event-driven patterns xqbhyrx
End-to-end production ownership: CI/CD, observability, infrastructure, live performance
Proficient in business English
1–2 years+ deep in LLM applications shipped to production with context engineering, RAG, multi-agent systems
Authored skills, sub-agents, evals, and verification harnesses in agents and can explain implementation
Ability to measure and conduct controlled experiments to prove improvements
ownership
collaboration across squads
results-oriented
RESTful APIs
Relational databases and SQL
Distributed/async patterns (queues, messaging)

📌 AI Staff Engineer (Palma)
🏢 Fever
📍 Palma