Senior Software Engineer - Ai Agents & Developer Platform
Fever
Overview In this role, you will help define how AI transforms Fever's Product Engineering, starting from solid backend foundations to AI-powered tooling.
You'll build scalable systems, harnesses for agents, evaluation infrastructure, and delivery rails that ship reliable outputs across the company.
You'll work within the AI & DevEx team to raise the performance of squads through end-to-end ownership of tooling, CI/CD, observability, and infrastructure.
This is a high-impact opportunity to shape AI-driven engineering at a global leader in live entertainment.
Compensaciones / Beneficios 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 Build agent harnesses, guardrails, and verification systems for high-quality, trustworthy agent output Develop shared knowledge substrate read/write by agents across Fever Own cloud development environments, CI runtime, and autonomous-delivery rails Identify AI-enabled improvements to squad planning, coordination, and daily workflows Design evaluation and metrics systems (baselines, before/after, DORA metrics, lead time) to ensure changes ship on signal Optimize AI workflows for speed and cost (routing, caching, self-hosted vs frontier models) Maintain production-grade software practices (testing, design patterns, CI/CD, observability) Requisitos principales 5+ years building and operating production software at meaningful scale with end-to-end ownership Strong software design fundamentals: testing, design patterns, clean architecture Backend depth: RESTful APIs, relational DBs and SQL, distributed/event-driven patterns behind high-traffic services Full production ownership: CI/CD, observability, infrastructure Proficient business English 1–2+ years shipping LLM applications to production with hands-on context engineering, RAG, multi-agent orchestration, and evals Authored skills, sub-agents, evals, or verification harnesses and can walk through real work ability to thrive in a fast-paced startup environment measurement-minded approach to experiments and impact clear communication across cross-functional teams RESTful APIs Relational databases and SQL Distributed and event-driven patterns (queues, messaging)
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