Rubrik: Senior Applied AI Engineer — Bangalore

About Rubrik

Rubrik provides data-security and resilience technology for organisations facing cyberattacks, malicious activity and operational disruption. Its recruitment material discusses protecting enterprise information, including data held in business software and cloud environments. The described portfolio includes security and protection for SaaS applications, with attention to access, backup and recovery. Its business connects the technical handling of information with an organisation's ability to keep critical data protected and to recover when normal operations are disrupted.

The position and its setting

Rubrik lists Senior Applied AI Engineer in Bangalore, under reference 8273717. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Information Technology & Services
• Employer listing date: 21 October 2026

Responsibilities and work described

• 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
• We are targeting 8+ years of overall software engineering experience; this is flexible for candidates who demonstrate depth across full-stack, distributed systems, and applied AI during technical evaluation
• 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
• Building: 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
• Building: 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
• Architecture: 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
• Building: 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
• Collaboration: openly with internal Business stakeholders, Product, QA, DevOps, and UX or designer teams; avoid working in silos

Essential requirements and candidate background

• Education & Experience
• 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: AI-assisted development tools (e.g., Claude Code or similar)
• Frontend: 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); understanding of schema design, joins, indexing, and query optimization
• Knowledge: 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
• Reason about system design trade-offs and build scalable, resilient solutions under ambiguity
• Soft Skills
• 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
• Analytical mindset to break down complex or ambiguous problems

Preferred experience and additional strengths

• Experience: agentic frameworks (ADK, LangGraph, or similar) beyond individual projects — production deployment experience preferred
• Familiarity: 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: modern web app tooling — component libraries (e.g., Tailwind, MUI) and state management (e.g., Redux, Zustand)
• Exposure: cloud-native development (AWS, Azure, or GCP), including containers and infrastructure as code

Location, schedule and contract conditions

• Advertised location: Bangalore

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Applied AI Engineer vacancy is not an offer for reference 8273717; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Rubrik

Applications follow the official employer page linked below.

Open the official Rubrik posting below and match the title and reference 8273717.

Compare your qualifications and experience with the essential conditions for the Bangalore position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• JavaScript
• SQL
• CI/CD
• Docker
• AWS
• GCP
• Azure
• REST APIs
• APIs
• AI/ML
• LLMs
• React
• Google Cloud