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Senior Staff Software Engineer, AI

Rippling· Engineering
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San Francisco, CAFull-timePosted 1w ago

About the role

Senior Staff Software Engineer role at Rippling AI focusing on AI Platform infrastructure, harness engineering, eval frameworks, and model-related infrastructure to support AI capabilities across multiple product areas.

Responsibilities

  • Own broad AI Platform charters across multiple systems and teams.
  • Lead architecture and execution for foundational systems supporting AI capabilities across Rippling.
  • Build and guide work across AI platform infrastructure, harness engineering, eval frameworks, model-related infrastructure, sandboxing, scaling, latency, and reliability.
  • Support AI capabilities across Payroll, Benefits, HR Products, Talent, Spend, IT, and Data Cloud.
  • Lead without formal authority while staying deeply connected to execution.
  • Write code, review critical code paths, debug complex production issues, prototype solutions, and make implementation-level decisions.
  • Partner with Product, Infra, Platform, AI, and senior engineering stakeholders to convert ambiguous AI/product bets into scalable systems.
  • Mentor Staff, Senior, and SE II engineers while raising engineering standards across design, coding, debugging, reliability, and operational excellence.
  • Define technical patterns and platform primitives that can be reused by product teams across Rippling.
  • Help shape the long-term technical foundation for Rippling AI.

Qualifications

  • 12+ years of software engineering experience, depending on quality of scope and impact.
  • Strong backend, platform, infrastructure, distributed systems, or systems engineering foundation.
  • Deep hands-on coding ability; must be able to design, review, debug, and write code regularly.
  • Strong programming knowledge in one or more languages such as Python, Java, Go/Golang, C++, Scala, Kotlin, or C#.
  • Proven experience owning broad, ambiguous technical charters across multiple systems or teams.
  • Strong architecture and system design depth across large-scale production systems.
  • Strong technical judgment across scale, reliability, latency, observability, APIs, data modeling, concurrency, and production operations.
  • Ability to operate as a builder-leader: define direction, align stakeholders, and still build.
  • Ability to influence and lead without formal authority while staying close to implementation.
  • High intellectual horsepower, fast learning ability, and comfort operating in ambiguity.
  • Strong product/platform judgment and ability to connect technical decisions to business and customer impact.
  • Ability to mentor and elevate engineers across levels.
  • AI/ML background is a strong plus, but not mandatory; practical exposure or strong adjacent experience in AI platform infrastructure, agents, evals, ML/data infra, model infrastructure, inference, sandboxing, workflow automation, scaling, latency, or reliability is highly valuable.

Skills

Required:Backend / Systems EngineeringProgramming LanguagesArchitecture & System DesignLeadership / Mentoring
Last updated Oct 14, 2026. Interested? Apply on the company site.
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About Rippling

#1 Workforce Management System | HR, IT, Finance

Rippling eliminates the friction from running a business, combining HR, IT, and Finance apps on a unified data platform.

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