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# Senior / Staff Full-Stack AI Engineer

- **Company:** Suno Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $228,000.0 - $363,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), TypeScript, ReactJS, Large Language Models, Grafana, Backend, Virtual Agents, Data Pipelines
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=af9c6958273a5d9a

## About the Role

* 4-6 years building and scaling general backend systems in production, in any language: 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, with multi-step tool calling.
 * Experience building evals for nondeterministic systems, such as regression sets, graders or LLM judges, and using the results to decide what ships.
 * Comfort on a small team that runs production: handling ambiguity, unblocking yourself, and working with ML engineers, PMs and partner teams.

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.

## Description

Suno's song creation agent takes a plain-language request, plans the steps, and calls our music models and audio tools to make the song. We're hiring Senior / Staff Full-Stack / AI Engineers to build the backend, data and evals behind it, working alongside ML engineers, PMs and the product teams who build on top of it. Most of the work is making a nondeterministic system behave, and proving that it does before anything ships. You'll join a small team and own your part of the agent, with a real say in how the rest of it is built.
Listen to the song we made about it: https://suno.com/s/YIofhzxQWKjXfwPS, * Build and run the backend for an AI agent that plans multi-step requests and calls music models and audio tools.

 * Design the evals, datasets and release gates that decide whether a change to the agent ships, and make the call when the results are noisy.
 * Develop the data pipelines that feed the agent and its evals, working alongside ML engineers.
 * Create internal tools for running and reviewing evals.
 * Share on-call and launch support for a high-traffic production system, and help the team ramp new engineers as it grows.
 * Help make creative fulfillment a daily reality for everyone by shipping the features people use to turn an idea into music.