AI Staff Engineer

Hace 4 días

Málaga, Andalucia, 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)