# Senior Applied AI Engineer at Rubrik

> India · Senior · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Arubrik%3A8273717 (read 2026-11-15).

## Facts (observed)

- Company: [Rubrik](https://alderhq.app/companies/rubrik)
- Location text: Bangalore; Bangalore, India Office
- Where it can be done from (inferred): India (evidence: "Location lists "bangalore"")
- Posted: 2026-10-21 (25 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-15
- Reposted: 0 times · edited: 1 times
- Apply on the employer's site: https://www.rubrik.com/company/careers/departments/job.8273717?gh_jid=8273717
- Skills listed (inferred): JavaScript, React, Next.js, Python, FastAPI, PostgreSQL, MySQL, MongoDB, SQL, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Bengaluru, n 3): p25 ₹30L, median ₹35L, p75 ₹38.8L
- Recognised sponsor (NL): registered as "Rubrik The Netherlands B.V." (checked 2026-11-15, [register](https://ind.nl/en/public-register-recognised-sponsors/public-register-regular-labour-and-highly-skilled-migrants))
- Licensed UK sponsor: registered as "Rubrik UK Limited" (checked 2026-11-15, [register](https://www.gov.uk/government/publications/register-of-licensed-sponsors-workers))

## Description (the employer's text)

### About the Role

We are looking for 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. This is a hands-on build role: you will own features end to end — from database schema through backend services and distributed systems to the user interface — and bring practical, hands-on experience building or integrating AI agents, tool-calling workflows, or LLM-powered features into production systems that our business stakeholders rely on.

The ideal candidate combines strong full-stack engineering fundamentals with a systems mindset for reliability and scale, and has spent meaningful hands-on time (1–2 years) building AI-agentified applications — not just experimenting with AI tools, but shipping agentic features in production. We are targeting 8+ years of overall software engineering experience; this is flexible for candidates who demonstrate strong depth across full-stack, distributed systems, and applied AI during technical evaluation.

### Key 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.
- 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.
### Required Qualifications

### 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.
### Technical Skills — Applied AI

- 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).
### Technical Skills — Full Stack

- 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Arubrik%3A8273717 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.