{"id":3012861,"url":"https://alion.io/job/rubrik-senior-applied-ai-engineer","title":"Senior Applied AI Engineer","company":{"id":1145,"name":"Rubrik","domain":"rubrik.com","url":"https://alion.io/company/rubrik","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":22,"ghost_share":0,"stale_share":0.591,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":30000,"max_usd":61000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":41},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Claude Code","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Google ADK","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MySQL","optional":false},{"name":"Next.js","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"SQL","optional":false},{"name":"State Management","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Material UI","optional":true},{"name":"Redux","optional":true},{"name":"Swagger","optional":true},{"name":"Tailwind CSS","optional":true},{"name":"Zustand","optional":true}],"status":"live","first_seen_at":"2026-10-21T12:34:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-29T23:18:10Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"description":"About the Role\nWe 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.\nThe 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.\nKey Responsibilities\nOwn 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.\nBuild full-stack web applications: responsive, production-grade frontends using React/Next.js, backed by well-designed REST APIs and backend services.\nDesign and build APIs and services that are consumed by applications, internal tools, and AI agents/LLMs, including tool-calling interfaces..\nBuild 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.\nArchitect for distributed systems concerns: scalability, fault tolerance, data consistency, and service boundaries across backend and data layers.\nApply reliability engineering practices - observability (logging, metrics, tracing), SLAs/SLOs, incident response, and post-incident reviews - to keep production systems healthy.\nDesign and optimize relational database schemas, including joins, indexing, and query performance tuning.\nBuild clean, well-tested, production-grade frontend and backend code that others can read, test, and extend.\nClarify requirements upfront, surface blockers early, and communicate progress proactively without being asked.\nCollaborate openly with internal Business stakeholders, Product, QA, DevOps, and UX or designer teams; avoid working in silos.\nRequired Qualifications \nEducation & Experience\nBachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.\n8+ years of hands-on software engineering experience across full-stack development (flexible based on demonstrated strength in technical evaluation).\n1-2 years of hands-on experience building, integrating, or operating AI-agentified applications (agentic workflows, tool-calling, RAG, or LLM-powered features) in production..\nDemonstrated experience owning systems designed for scale and reliability, not just feature delivery.\nTechnical Skills - Applied AI\n1-2 years of hands-on experience building AI-agentified applications, including agent frameworks (e.g., LangChain, LangGraph, ADK, or equivalent), tool/function-calling for LLMs.\nPractical understanding of AI-specific considerations: latency, cost, rate limiting, and safety/guardrails when exposing systems for AI consumption.\nExperience with AI-assisted development tools (e.g., Claude Code or similar).\nTechnical Skills - Full Stack\nFrontend: 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).\nBackend: Proficient in Python, writing production-grade code; hands-on experience with FastAPI or Flask (or equivalent frameworks) for building REST APIs.\nDatabase: Experience with relational and non-relational databases (PostgreSQL, MySQL, SQL Server, MongoDB or equivalent); solid understanding of schema design, joins, indexing, and query optimization.\nTechnical Skills - Distributed Systems & Reliability\nWorking knowledge of distributed systems concepts: service decomposition, consistency models, caching, queuing/messaging, and failure handling.\nReliability engineering fundamentals: observability (logging, metrics, tracing), SLAs/SLOs, error budgets, and operational runbooks.\nAbility to reason about system design trade-offs and build scalable, resilient solutions under ambiguity.\nSoft Skills\nProactive communication - shares updates without being asked and flags blockers early.\nAsks the right questions - clarifies requirements upfront before jumping into implementation.\nOwnership mindset - treats the project as their own rather than just completing tickets.\nTransparency - speaks up when something is unclear instead of making assumptions.\nStrong analytical mindset to break down complex or ambiguous problems.\nPreferred Qualifications\nExperience with agentic frameworks (ADK, LangGraph, or similar) beyond individual projects - production deployment experience preferred.\nFamiliarity with API documentation standards (Swagger/OpenAPI).\nBasic DevOps awareness (Docker, CI/CD) and Git/version-control best practices.\nTesting experience across unit and integration levels.\nExperience with modern web app tooling - component libraries (e.g., Tailwind, MUI) and state management (e.g., Redux, Zustand).\nExposure to cloud-native development (AWS, Azure, or GCP), including containers and infrastructure as code.\nJoin Us in Securing and Accelerating the World's AI Transformation\nRubrik (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. \nLinkedin | X (formerly Twitter) | Instagram | Rubrik.com\nInclusion @ Rubrik\nAt 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.\nOur 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.\nOur inclusion strategy focuses on three core areas of our business and culture:\nOur 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.\n\nOur 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.\n\nOur 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.\n\nEqual Opportunity Employer/Veterans/Disabled\nRubrik 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.\nRubrik 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 contact . 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