About the role
Software Engineer 2 - AI Platform Software Engineer 2 - AI Platform About Rippling Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses,
benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system. Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer,
benefits, and even third-party apps like Slack and Microsoft 365 - all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.85B+ from the world’s top investors - including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, Bedrock, GIC, Elad Gil and Goldman Sachs—and was named one of America's best startup employers by Forbes. We prioritize candidate safety. Please be aware that all official communication will only be sent from @rippling.com addresses.
About
the role Rippling is building foundational AI Platform systems that will power AI capabilities across the company’s product ecosystem, including Payroll,
Benefits, HR Products, Talent, Spend, IT, and Data Cloud. As a Software Engineer II on the AI Platform team , you will work on backend and platform systems that support AI agents, automated workflows, evaluation systems, data pipelines, and model-quality feedback loops. This is a highly hands-on role where 70–80% coding is non-negotiable . This role is ideal for engineers who are strong in backend engineering, enjoy writing high-quality production code, and are excited to build in an AI-first platform environment. What you will do Build backend and platform components for Rippling’s AI Platform. Contribute to AI infrastructure supporting background agents, automated workflows, evals, data pipelines, and reliability systems. Write clean, maintainable, testable, and scalable production code. Own well-defined features, services, or modules end-to-end with guidance from senior engineers. Participate in design discussions, code reviews, testing, debugging, and production support. Work with Senior, Staff, and Senior Staff engineers to translate technical designs into production systems. Build systems with strong attention to reliability, observability, scalability, and operational correctness. Develop understanding of AI platform concepts such as agents, LLM infrastructure, evals, workflow automation, and model quality loops.
