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Senior Applied AI Engineer

Rubrik · Posted Oct 21

Cloud data security, zero-trust backup, threat analytics, and cyber resilience services

Bangalore, IndiaFull-timeOnsiteSenior Level8+ years₹50.0L–₹85.0L yearly36 applicants
Cloud ComputingCybersecurityData ManagementSaaSArtificial IntelligencePublic Company
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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

ReactNext.jsJavaScriptPythonFastAPIFlaskPostgreSQLMySQLMongoDBREST APILangChainLangGraphADKRAGLLMsAI AgentsDockerCI/CDGitOpenAPIAWSAzureGCPReduxTailwind CSS

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

Greylock PartnersLightspeed Venture PartnersMicrosoftKhosla VenturesInstitutional Venture Partners (IVP)
  • 2021-08-17Series FUndisclosed
  • 2021-11-01Secondary Market$1.3M

Leadership

BS
Bipul Sinha

Co-Founder, CEO and Chairman

AN
Arvind Nithrakashyap

Co-Founder and CTO

KC
Kiran Choudary

Chief Financial Officer

AG
Anneka Gupta

Chief Product Officer

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