Senior / Staff Software Engineer, AI Engineering

Suno

active

Official active full-time posting for Senior / Staff Software Engineer, AI Engineering at Suno, located in Boston.

Role facts

Employer	Suno
Location	Boston
Work mode	On-site / not stated
Remote scope	unknown
Employment	full-time
Function	Engineering
Track	industry
Seniority	staff_or_principal
Compensation	unknown
Posted	2026-07-01
Work authorization	Applicants must be eligible to work in the US.
Official posting	Open official posting ↗

Design and build AI-powered internal systems for a range of functions across Suno
Own the underlying infrastructure that keeps those systems running in production — reliable, observable, and easy to extend to new use cases
Embed with cross-functional partners to understand their workflows, surface the right problems to solve, and prioritize what gets built next
Partner with engineering teams to expand AI-enabled tooling and ensure our internal systems benefit from the company's broader AI infrastructure
Help non-engineering teams move faster and with more capability, contributing to Suno's mission of making creative fulfillment a daily reality for everyone
Establish the engineering foundation and operational patterns for a function that will grow alongside the company

Must-Haves
5-7+ years of full-stack software engineering experience
Demonstrated experience building and shipping internal tooling or systems that support business functions
Hands-on familiarity with the current landscape of AI for software engineering, including LLMs, AI APIs, and agentic workflows - you've actually built and shipped something with these tools, not just used AI as a coding assistant
Strong communicator who can work effectively with non-engineering partners - you can translate between technical and business contexts without losing either audience

Experience on a platform, developer experience, or enterprise engineering team where internal teams were your primary customers
Familiarity with support tooling, CRM systems, or workflow automation platforms
Experience standing up observability and operational practices for internal systems from scratch
Comfort operating in an early-stage, 0→1 environment where the problem space is still being defined