Senior Applied AI Engineer

Описание

This is a Senior full-stack engineer role on Rubrik's Applied AI team, shipping production AI-agentified features, agentic workflows, and LLM-powered internal platforms.

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, tracing), SLAs/SLOs, incident response, and post-incident reviews - to keep production systems healthy
• Design and optimize relational database schemas, including joins, indexing, and query performance tuning
• Build clean, well-tested, production-grade frontend and backend code that others can read, test, and extend

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience
• 8+ years of hands-on software engineering experience across full-stack development (flexible based on demonstrated strength in technical evaluation)
• 1-2 years of hands-on experience building, integrating, or operating AI-agentified applications (agentic workflows, tool-calling, RAG, or LLM-powered features) in production
• Demonstrated experience owning systems designed for scale and reliability, not just feature delivery
• 1-2 years of hands-on experience building AI-agentified applications, including agent frameworks (e.g., LangChain, LangGraph, ADK, or equivalent), tool/function-calling for LLMs
• Practical understanding of AI-specific considerations: latency, cost, rate limiting, and safety/guardrails when exposing systems for AI consumption
• Experience with AI-assisted development tools (e.g., Claude Code or similar)
• Strong JavaScript fundamentals; hands-on experience with React and Next.js for building modern, production-grade web applications (hooks, state management, component architecture, routing/SSR)

We offer

• Full-time employment

Hiring process

• Upload your resume, paste it, or list your skills and experience to get a match score for this role at Rubrik, what is missing, and what to fix before you apply