# Senior Staff Software Engineer - Rippling AI

**Company:** [Rippling](https://hotfix.jobs/companies/rippling)
**Location:** Bengaluru, India
**Role:** AI Research
**Experience:** 14+ years
**Skills:** Python, Java, Go, C++, Scala, Kotlin, C#, SQL, Distributed Systems, System Design, Ai Platform Infrastructure, Machine Learning Infrastructure, Llm Tooling, Inference Systems, Sandboxing
**Posted:** 2026-06-17

> Leads broad, ambiguous technical charters for Rippling’s AI platform, designing and building scalable infrastructure, evaluation systems, model-related tooling, and reliable distributed services. Requires 14+ years of software engineering experience, deep backend or systems expertise, and strong hands-on coding and technical leadership.

## Job Description

## 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.
- 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 and 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 reusable by product teams.
- Help shape the long-term technical foundation for Rippling AI.

## Requirements
- 14+ 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, including designing, reviewing, debugging, and writing code regularly.
- Strong programming knowledge in one or more languages such as Python, Java, Go, C++, Scala, Kotlin, or C#.
- Experience owning broad, ambiguous technical charters across multiple systems or teams.
- Strong architecture and system design depth across large-scale production systems.
- Technical judgment across scale, reliability, latency, observability, APIs, data modeling, concurrency, and production operations.
- Ability to influence and lead without formal authority while staying close to implementation.
- Strong product and platform judgment, with the ability to connect technical decisions to business and customer impact.
- Ability to mentor and elevate engineers across levels.
- AI/ML background is a plus but is not mandatory; practical exposure or adjacent experience in AI platform infrastructure, agents, evals, ML/data infrastructure, model infrastructure, inference, sandboxing, workflow automation, scaling, latency, or reliability is valuable.

## Preferred Qualifications
- Experience building AI platform infrastructure, evaluation frameworks, harness systems, LLM tooling, model-quality systems, or ML/data infrastructure.
- Experience with sandboxing, inference systems, scaling, latency optimization, reliability engineering, or large-scale distributed platforms.
- Strong Python and SQL knowledge.
- Experience with Go, Java, C++, or Scala in backend, infrastructure, platform, or distributed-systems environments.
- Experience building internal platforms used by multiple product teams.
- Experience in high-growth startups or fast-moving product-led technology companies.
- Exposure to enterprise SaaS, fintech, HR technology, payroll, benefits, compliance, IT, Data Cloud, or workflow-heavy platforms.
- Ability to operate as a builder-leader who can define direction, align stakeholders, and still build.

## Compensation and Benefits
- Competitive salary, benefits, and equity.
- Compensation considers professional background, experience, and location; final offers may vary.


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