2 days ago
Base Salary
$189k - $283k/yr
Responsibilities
- Lead product discovery with product managers and domain experts to map workflows, define problems, establish baselines, and set success criteria.
- Design, build, test, deploy, and operate production agents, automations, and internal tools using LLM APIs, coding agents, agent frameworks, Rubrik’s internal agent platform, and business systems.
- Create multi-agent workflows and orchestrators that handle business processes, decisions, approvals, fulfillment, customer health, and HR or IT operations.
- Engineer reliable agent systems with tool and orchestration flows, context management, caching, retries, failure handling, and autonomy controls.
- Develop backend services, APIs, data models, interactive screens, approval UIs, dashboards, and chat interfaces for user-facing agent systems.
- Apply version control, code review, automated testing, CI or CD, staged rollouts, rollbacks, logging, metrics, and tracing to AI systems.
- Build evaluation suites, quality gates, guardrails, human-in-the-loop approvals, and production monitoring to improve agent quality and safety.
- Use measured outcomes to evolve or retire agents and create reusable patterns and libraries.
Requirements
- Around 7 or more years of professional software engineering experience in production systems.
- Around 2 or more years of professional, hands-on experience building AI agents and agent-powered production applications with measurable outcomes.
- Strong full-stack engineering experience designing, building, and owning services end to end, including backend APIs, integrations, data models, and user-facing interfaces.
- Ability to design robust systems, APIs, data models, algorithms, data structures, access controls, permissions, and data provenance mechanisms.
- Experience translating vague requirements into problem statements and design documents and following traceable specification-driven development practices.
- Experience building agents in code with LLM APIs, SDKs, and libraries and shipping agentic systems used by real people.
- Experience with agent harnesses, multi-agent orchestration, tools, resources, context, state management, continuous evaluation, safety mechanisms, and guardrails.
- Ability to make data-driven decisions about agent fit, model choice, latency, cost, context strategy, and autonomy.
- Preferred knowledge of knowledge or context graphs, entities and relationships, GraphRAG, hybrid retrieval, agent frameworks and runtimes, cloud or container platforms, Python, FastAPI or similar stacks, MCP, Slack or Teams bots, REST APIs, webhooks, Snowflake, Salesforce, graph stores, conversational flows, chat surfaces, guided forms, and dashboards.
Benefits
- Eligible for bonus potential, equity, and benefits.
- U.S. base salary range is $188,500–$282,700, with the offer determined by work location, skills, experience, education, and training.
Tech Stack
Categories
About Rubrik
Rubrik builds an enterprise data security and backup platform that protects and recovers data, identities, and workloads across on-prem, public clouds, and SaaS. Its Rubrik Security Cloud delivers backup, ransomware detection and recovery, and policy management, sold primarily by subscription with professional services. Founded in 2014 and headquartered in Palo Alto, California, the company is publicly traded on the NYSE under the ticker RBRK.