AI Staff Engineer

Hace 2 semanas

Sevilla, Andalucía, España Fever Jornada completa
Overview 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 / Beneficios
* 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
* 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)