Senior Software Engineer - Ai Agents & Developer Platform

OverviewSi está considerando enviar una solicitud, asegúrese de pulsar el botón de solicitar de abajo después de leer la descripción completa.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 / Beneficiosbase salary with potential significant bonusstock options40% discount on Fever eventshome office-friendlyhealth insurance and flexible remuneration via CobeeEnglish lessonsResponsabilidadesBuild agent harnesses, guardrails, and verification systems for high-quality, trustworthy agent outputDevelop shared knowledge substrate read/write by agents across FeverOwn cloud development environments, CI runtime, and autonomous-delivery railsIdentify AI-enabled improvements to squad planning, coordination, and daily workflowsDesign evaluation and metrics systems (baselines, before/after, DORA metrics, lead time) to ensure changes ship on signalOptimize 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 principales5+ years building and operating production software at meaningful scale with end-to-end ownershipStrong software design fundamentals: testing, design patterns, clean architectureBackend depth: RESTful APIs, relational DBs and SQL, distributed/event-driven patterns behind high-traffic servicesFull xhfqzwm production ownership: CI/CD, observability, infrastructureProficient business English1–2+ years shipping LLM applications to production with hands-on context engineering, RAG, multi-agent orchestration, and evalsAuthored skills, sub-agents, evals, or verification harnesses and can walk through real workability to thrive in a fast-paced startup environmentmeasurement-minded approach to experiments and impactclear communication across cross-functional teamsRESTful APIsRelational databases and SQLDistributed and event-driven patterns (queues, messaging)