Join Suno as a Senior/Staff Full-Stack AI Engineer to build innovative AI music solutions in a fast-paced environment.
Posted by employer 13 hours ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
- Build and run the backend for an AI agent
- Design evals, datasets, and release gates
- Develop data pipelines for the agent
- Create internal tools for running evals
- Share on-call and launch support
Must have
- 4–6 years building and scaling backend systems
- Experience shipping an LLM-powered agent
- Experience building evals for nondeterministic systems
- Comfort on a small team
Nice to have
- Experience with Python backends
- Experience building internal tools in TypeScript and React
- Experience with audio or music generation systems
- Experience with LLM tracing and observability tools
Practical constraints
- Work from the designated Suno SF office 5 days a week
- Applicants must be eligible to work in the US
AI in the day-to-day
Suno's song creation agent uses AI to plan and create music based on user requests.
Requirements
- Experience
- 4–6 years
- Visa
- No sponsorship (stated in posting)
Benefits
Joblaze summary
In this role, the Senior/Staff Full-Stack AI Engineer at Suno will focus on developing the backend for an AI-driven music creation agent, ensuring it effectively handles multi-step requests and interacts with various music models. Key skills include experience with backend systems, LLM-powered features, and building evaluation frameworks for nondeterministic systems. This position is ideal for someone with several years of production experience who thrives in a small team environment and can navigate ambiguity. Suno's fast-paced culture emphasizes ownership and collaboration, making it a fitting place for engineers eager to contribute to innovative music technology.
Joblaze insights
- Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Suno's careers page October 21, 2026.
- Salary band is above the typical range for Fullstack roles (median ~$165,000).
- Starts above 91% of 100 comparable senior fullstack roles in United States that list React we track (median $170,000 across 49 companies). See React salary trends
- React appears in 69.6% of 230 comparable senior fullstack roles in United States; LLM appears in 0.9% of 230 comparable senior fullstack roles in United States.
Quick facts
- Is the Senior / Staff Full-Stack AI Engineer role remote?
- No — this is an on-site role in San Francisco, United States.
- What's the salary range?
- Suno lists $228,000–$363,000 for this role.
- How much experience is required?
- 4–6 years of relevant experience for this Senior / Staff Full-Stack AI Engineer role.
- Where is the role based?
- Suno is hiring for this position in San Francisco, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, LLM, Python, React, TypeScript.
- What seniority level is this role?
- Suno targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior / Staff Full-Stack AI Engineer role at Suno.
From the original posting
About the Role
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
What You'll Do
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.
What You'll Need
Must-Haves
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.
Work Location Policy
This role is expected to work from the designated Suno SF office 5 days a week, per Suno's company policy. Full-time employees will receive competitive equity packages, and comprehensive benefits. The actual base salary offered may vary depending on location, skills, qualifications, and experience.
Perks & Benefits for Full-Time Employees
Company Equity Package
16 Weeks of Paid Parental Leave
Creative Education Stipend
Generous Commuter Allowance
In-Office Lunch (5 days per week)
Compensation
$228K- $363K
Standard company text repeated across Suno's postings is omitted here.