
Senior Applied AI Engineer
Rubrik · Posted Oct 21
Cloud data security, zero-trust backup, threat analytics, and cyber resilience services
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About the role
Rubrik's Applied AI team builds production-grade, full-stack applications and APIs for internal Business teams while embedding AI-agentified capabilities into those internal platforms. The work spans database schema, backend services and distributed systems through React/Next.js frontends, with a strong emphasis on reliability and scale. This hands-on senior role owns features end to end and ships agentic, LLM-powered features into production systems used by business stakeholders.
What you will do
- 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.
- Clarify requirements upfront, surface blockers early, and communicate progress proactively without being asked.
- Collaborate openly with internal Business stakeholders, Product, QA, DevOps, and UX or designer teams; avoid working in silos.
Skills used in this role
What the employer is looking for
- 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).
- Frontend: 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).
- Backend: Proficient in Python, writing production-grade code; hands-on experience with FastAPI or Flask (or equivalent frameworks) for building REST APIs.
- Database: Experience with relational and non-relational databases (PostgreSQL, MySQL, SQL Server, MongoDB or equivalent); solid understanding of schema design, joins, indexing, and query optimization.
- Working knowledge of distributed systems concepts: service decomposition, consistency models, caching, queuing/messaging, and failure handling.
- Reliability engineering fundamentals: observability (logging, metrics, tracing), SLAs/SLOs, error budgets, and operational runbooks.
- Ability to reason about system design trade-offs and build scalable, resilient solutions under ambiguity.
- Proactive communication — shares updates without being asked and flags blockers early.
- Asks the right questions — clarifies requirements upfront before jumping into implementation.
- Ownership mindset — treats the project as their own rather than just completing tickets.
- Transparency — speaks up when something is unclear instead of making assumptions.
- Strong analytical mindset to break down complex or ambiguous problems.
Preferred qualifications
- Experience with agentic frameworks (ADK, LangGraph, or similar) beyond individual projects — production deployment experience preferred.
- Familiarity with API documentation standards (Swagger/OpenAPI).
- Basic DevOps awareness (Docker, CI/CD) and Git/version-control best practices.
- Testing experience across unit and integration levels.
- Experience with modern web app tooling — component libraries (e.g., Tailwind, MUI) and state management (e.g., Redux, Zustand).
- Exposure to cloud-native development (AWS, Azure, or GCP), including containers and infrastructure as code.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Rubrik
Rubrik is a cloud-native cybersecurity and data resilience company that provides zero-trust data protection, threat monitoring, and automated enterprise recovery solutions. The company delivers a unified platform designed to safeguard hybrid and multi-cloud environments against ransomware and malicious cyber threats. By integrating AI-driven operations and risk analytics, Rubrik helps enterprises ensure business continuity and digital trust.
- Industry
- Cloud Computing
- Company size
- 3000-5000 employees
- Founded
- 2014
- Location
- Palo Alto, California, USA
- Funding stage
- Public Company
Funding
Public Company · $553M raised
- 2021-08-17Series FUndisclosed
- 2021-11-01Secondary Market$1.3M
Leadership
Co-Founder, CEO and Chairman
Co-Founder and CTO
Chief Financial Officer
Chief Product Officer
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