Senior / Staff Full-Stack AI Engineer
About The Position
Suno is hiring Senior / Staff Full-Stack AI Engineers to build the backend, data systems, and evaluations behind its song creation agent. The agent interprets plain-language requests, plans multi-step actions, and calls music models and audio tools to create songs. The role works alongside ML engineers, product managers, and product teams, with responsibility for a part of the agent and input into how the broader system is built. The work centers on making a nondeterministic system behave reliably and verifying its performance before release. The engineer will build and operate backend services, develop data pipelines and evaluation systems, create internal evaluation tools, and support launches and on-call for a high-traffic production system. The role is based in Suno’s designated San Francisco office five days per week. Applicants must be eligible to work in the US.
Requirements
- 4–6 years of experience building and scaling general backend systems in production, in any language, including services at scale, observability, and on-call ownership.
- Experience shipping and operating an LLM-powered agent or feature in production for external or internal users, including multi-step tool calling.
- Experience building evaluations for nondeterministic systems, such as regression sets, graders, or LLM judges, and using results to decide what ships.
- Comfort working on a small production team, handling ambiguity, unblocking yourself, and collaborating with ML engineers, product managers, and partner teams.
- Must be eligible to work in the US.
Nice To Haves
- Experience with Python backends.
- Experience building internal tools or dashboards in TypeScript and React for reviewing model output.
- Experience with audio, music, or other media generation systems.
- Experience with LLM tracing and observability tools.
Responsibilities
- Build and run the backend for an AI agent that plans multi-step requests and calls music models and audio tools.
- Design evaluations, datasets, and release gates to determine whether agent changes should ship, including making decisions when results are noisy.
- Develop data pipelines that support the agent and its evaluations in collaboration with ML engineers.
- Create internal tools for running and reviewing evaluations.
- Share on-call and launch support for a high-traffic production system.
- Help new engineers ramp up as the team grows.
- Ship features that help people turn ideas into music.
Benefits
- Competitive equity package.
- 401(k) with 3% employer match and Roth 401(k).
- Medical, dental, and vision insurance, with PPO, HSA, and FSA options.
- 11 paid holidays, unlimited PTO, and sick time.
- 16 weeks of paid parental leave.
- Creative education stipend.
- Generous commuter allowance.
- In-office lunch five days per week.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
