Senior Applied AI Engineer

Rubrik Job Board; Bengaluru; Sur place; INR 4 200 000 - 6 600 000; Plein temps

Résumé du poste

Rubrik is seeking a Senior Applied AI Engineer to own end‑to‑end features across full‑stack development, including database design, backend services, APIs, and a React/Next.js frontend. You will build AI‑agentified capabilities and integrate tool‑calling workflows into production systems for internal Business teams.

The role requires 8+ years of software engineering with hands‑on AI agentified experience, strong systems thinking, and a focus on reliability, scalability, and observability.

Qualifications

• 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.

Responsabilités

• Own features end to end — database schema, backend services, APIs, and frontend (React/Next.js) user interface.
• Build full‑stack web applications: responsive, production‑grade frontends using React/Next.js, backed by REST APIs and backend services.
• Design and build APIs and services 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.
• Architect for distributed systems concerns: scalability, fault tolerance, data consistency, and service boundaries across backend and data layers.
• Apply reliability engineering practices — observability, SLAs/SLOs, incident response, and post‑incident reviews.
• 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.
• Collaborate openly with internal Business stakeholders, Product, QA, DevOps, and UX or designer teams.

Connaissances

Full-stack development

React/Next.js

Python

FastAPI/Flask

Databases

Distributed systems

Observability

APIs

AI agentified applications

Tool calling & LangChain

Docker

CI/CD

Git

Cloud (AWS/Azure/GCP)

Formation

Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience

Outils

LangChain

LangGraph

ADK

Swagger/OpenAPI

Docker

CI/CD

Git

Description du poste

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.

Technical Skills — Distributed Systems & Reliability

• 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.

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.
• 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.

Join Us in Securing and Accelerating the World’s AI Transformation

Rubrik (RBRK), the Security and AI Operations Company, leads at the intersection of data protection, cyber resilience, and enterprise AI acceleration. Rubrik Security Cloud delivers complete cyber resilience by securing, monitoring, and recovering data, identities, and workloads across clouds. Rubrik Agent Cloud accelerates trusted AI agent deployments at scale by monitoring and auditing agentic actions, enforcing real‑time guardrails, fine‑tuning for accuracy and undoing agentic mistakes.

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Inclusion @ Rubrik

At Rubrik, we are dedicated to fostering a culture where people from all backgrounds are valued, feel they belong, and believe they can succeed. Our commitment to inclusion is at the heart of our mission to secure the world’s data.

Our goal is to hire and promote the best talent, regardless of background. We continually review our hiring practices to ensure fairness and strive to create an environment where every employee has equal access to opportunities for growth and excellence. We believe in empowering everyone to bring their authentic selves to work and achieve their fullest potential.

Our inclusion strategy focuses on three core areas of our business and culture:

• Our Company: We are committed to building a merit‑based organization that offers equal access to growth and success for all employees globally. Your potential is limitless here.

• Our Culture: We strive to create an inclusive atmosphere where individuals from all backgrounds feel a strong sense of belonging, can thrive, and do their best work. Your contributions help us innovate and break boundaries.

• Our Communities: We are dedicated to expanding our engagement with the communities we operate in, creating opportunities for underrepresented talent and driving greater innovation for our clients. Your impact extends beyond Rubrik, contributing to safer and stronger communities.

Equal Opportunity Employer/Veterans/Disabled

Rubrik is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, protected veteran status, or any other status protected by applicable law. Rubrik provides equal employment opportunities to employees and applicants in all terms and conditions of employment, including recruiting, hiring, promotion, compensation, training, leave, and termination.

Rubrik provides reasonable accommodations to qualified applicants and employees with disabilities in accordance with applicable law. If you need an accommodation to participate in the application process or to perform your job, please [e-mail]. Accommodations may include changes to the application process, documents in an alternate format, a sign language interpreter, or specialized equipment.

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