Senior applied AI engineer at Rubrik Bengaluru, building production full-stack applications for internal business teams with AI capabilities embedded.

This full-time Bengaluru role was posted on 21 October 2026. The listing describes the Applied AI team, which builds production-grade, full-stack applications and APIs for Rubrik's internal business teams while embedding AI-agent capabilities into those platforms. It is explicitly a hands-on build role: you own features end to end from database schema through backend services and distributed systems to the user interface, with practical experience building or integrating AI capabilities. Requirements include a bachelor's or master's in a relevant field or equivalent practical experience.

About Rubrik

Rubrik builds data security software: backup and recovery, ransomware protection and data posture management for enterprise data across cloud and on-premise systems. Its current listings describe a push into AI, including internal enterprise-AI platforms and agentic systems.

Bengaluru is one of Rubrik's main engineering centres, hosting teams across core engineering, IT, security and AI work, per its listings. Learn more on Rubrik's website.

The role in plain terms

The end-to-end ownership described - schema to UI - is genuinely full-stack, and the internal-customer framing means short feedback loops and visible impact. The listing asks for a systems mindset for reliability and scale alongside AI experience, which separates it from prototype-grade AI work: these are production internal platforms. The applied label is honest - you integrate and ship AI capabilities rather than research them.

The team and the work

Per the listing, the team serves Rubrik's internal business teams, so the users are colleagues in sales, operations and finance. The combination of full-stack engineering fundamentals plus hands-on AI integration experience is the stated ideal profile.

What the employer asks for

These requirements are quoted from the employer's listing, kept in their exact words so eligibility details are not distorted:

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 with AI-assisted development tools (e.g., Claude Code or similar).

Who this role suits

Full-stack engineers with production experience who have integrated AI capabilities (LLM APIs, agents, retrieval) into shipped applications. Not for ML researchers or for frontend-only or backend-only engineers - the role explicitly spans the whole stack.

Practical notes

For applied AI roles, expect questions on how you productionised an AI feature: latency, cost, failure modes and evaluation. A demo or detailed walkthrough of something you shipped is the strongest possible material.

Working at Rubrik

Engineering at Rubrik covers distributed systems for data protection at enterprise scale, plus newer AI platform teams. Listings emphasize production ownership and hands-on depth in systems languages and Kubernetes.

How to apply

Apply directly on the employer's site: Senior Applied AI Engineer at Rubrik. We found this listing on the Greenhouse public job board (rubrik.com), where it was posted on 21 Oct 2026 and was still open when we checked on 30 Oct 2026. Before applying, re-read the employer's own description in full, since eligibility details, deadlines and process steps can change at any time and the employer's page is always the final word. Tailor your resume to the specific requirements above rather than sending a generic one: mirror the skills and tools the listing names where you genuinely have them. A short, specific note on why this team and this problem interest you goes further than a long generic cover letter. Never pay a fee to apply or interview; genuine employers, including this one, do not charge candidates.

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