16 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- Own major AI Platform initiatives across backend, platform, infrastructure, and AI-enabled systems.
- Design and execute systems supporting agents, evaluations, automation, data pipelines, model quality, sandboxing, scaling, latency, and reliability.
- Lead cross-functional technical initiatives involving Product, Infrastructure, Platform, AI, and Engineering teams.
- Translate ambiguous technical problems into architecture and execution plans.
- Write, review, and debug production code and make implementation-level decisions.
- Build reusable platform systems for multiple product teams.
- Raise engineering quality through design reviews, code reviews, mentoring, and technical guidance.
- Balance speed, quality, reliability, and long-term maintainability.
Requirements
- 10–15 years of software engineering experience, preferably in backend, platform, infrastructure, distributed systems, AI platform, or product engineering.
- Strong hands-on coding ability and willingness to remain involved in debugging, design reviews, and implementation details.
- Strong programming knowledge in one or more of Python, Java, Go, C++, Scala, Kotlin, or C#.
- Proven experience building and operating large-scale distributed systems in production.
- Strong system design and architecture fundamentals across APIs, databases, data modeling, concurrency, reliability, observability, and production operations.
- Ability to lead ambiguous cross-functional technical initiatives without formal authority.
- Strong product intuition and ability to connect technical decisions to customer and business impact.
- Ability to mentor engineers while continuing to code.
- Practical exposure or strong curiosity around AI agents, LLM infrastructure, agentic workflows, ML and data infrastructure, inference pipelines, evaluations, fine-tuning, post-training, or automation systems.
- Preferred experience with AI agents, LLM tooling, AI infrastructure, automation platforms, evaluation systems, model-quality systems, workflow orchestration, background automation, self-healing systems, reliability platforms, internal developer platforms, permissions, approvals, auditability, compliance, or security-sensitive workflows.
- Strong Python and SQL knowledge is preferred.
- Experience in high-growth or hyper-growth startup and product environments is preferred.
About Rippling
Rippling builds a unified workforce management platform that combines HR, payroll, IT, and finance software for businesses on a single system. Its SaaS suite covers onboarding, payroll, time tracking, benefits, device and identity management, spend/expenses, and accounting integrations with ERPs like NetSuite, QuickBooks, Microsoft Dynamics 365, and Oracle. Founded in 2016 and headquartered in San Francisco, Rippling is privately held and serves companies from startups to large enterprises.