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Senior / Staff AI Platform Engineer

Suno - San Francisco, CA, United States - In-office - posted 2026-10-20

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Salary: USD 228,000 - 363,000 / annual

Suno is building the world's first creative entertainment platform for music creation, backed by leading investors including NVIDIA Ventures, Union Square Ventures, and Menlo Ventures. The company is the fastest-growing consumer entertainment company and leader in AI music. As a Senior AI Platform Engineer, you will build the internal platform that enables other engineering teams at Suno to ship agent features faster. Your customers are internal engineers, and adoption is a key measure of success. You'll work closely with the agent team, partner teams, and infrastructure to shape the platform as it scales. Key responsibilities include: - Design and build platform APIs and SDKs that other teams use to develop agent features - Develop shared eval infrastructure, including eval runner, results storage, dashboards, and help teams decide what to build vs. buy - Implement end-to-end tracing and observability so requests can be followed across services from prompt to audio output - Manage model provider routing, fallback logic, rate limits, and cost controls - Partner with engineering teams across Suno to onboard them onto the platform with documentation and hands-on support - Work with Infrastructure on reliability and scale of the agent runtime - Enable teams to ship agent features faster and safer The role is based in Suno's San Francisco office with a 5-day-per-week in-office requirement. REQUIREMENTS: Must-haves: - 4–6 years building and scaling backend or platform systems in production (any language) - Experience on a team that supports other developer teams, including building a platform, API, or SDK that other teams adopted - Experience with production LLM or agent systems for external or internal users - Depth in distributed systems and observability, including tracing across services - Comfort working with internal customers: scoping with partner teams, earning adoption, and handling ambiguity Nice-to-haves: - Experience building an eval or tracing product - Experience running LLM gateway or model routing infrastructure - Experience writing SDKs that other teams use - Experience with Python backends Must be eligible to work in the US.

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