Senior Applied AI Engineer

About the Role We are looking for a Senior Applied AI Engineer to join Rubrik's Applied AI team, building production-grade, full-stack applications and APIs for our internal Business teams while embedding AI-agentified capabilities into these internal platforms. This is a hands-on build role: you will own features end to end — from database schema through backend services and distributed systems to the user interface — and bring practical, hands-on experience building or integrating AI agents, tool-calling workflows, or LLM-powered features into production systems that our business stakeholders rely on. The ideal candidate combines strong full-stack engineering fundamentals with a systems mindset for reliability and scale, and has spent meaningful hands-on time (1–2 years) building AI-agentified applications — not just experimenting with AI tools, but shipping agentic features in production. We are targeting 8+ years of overall software engineering experience; this is flexible for candidates who demonstrate strong depth across full-stack, distributed systems, and applied AI during technical evaluation. Key Responsibilities Own features end to end — database schema, backend services, APIs, and frontend (React/Next.js) user interface — operating as an owner rather than a ticket-taker. Build full-stack web applications: responsive, production-grade frontends using React/Next.js, backed by well-designed REST APIs and backend services. Design and build APIs and services that are consumed by applications, internal tools, and AI agents/LLMs, including tool-calling interfaces.. Build and productionize AI-agentified features — agentic workflows, LLM-powered automation, and AI-assisted tooling — grounded in 1–2 years of hands-on experience with these systems. Architect for distributed systems concerns: scalability, fault tolerance, data consistency, and service boundaries across backend and data layers. Apply reliability engineering practices — observability (logging, metrics