Senior AI Engineer, Agentic Systems

Rubrik secures and accelerates the worlds AI transformation. As AI agents reshape the enterprise Rubriks Enterprise AI Incubation team proves it on Rubrik itself.
We are building a thinking enterprise: applications that dont just record the business but help run it. They learn from our data act through our own agents and improve with every decision.
Fully backed by executive leadership this team drives meaningful large-scale enterprise transformation.

We want senior engineers who have already shipped agents that real people rely on and who are ready to do it again at higher stakes. You will drop into the real work redesign it around agents that carry it end to end and ship it as the new way that part of Rubrik own your agent systems end to end: understanding the workflow designing the architecture writing the code deploying and running it in production. Rather than simply querying an API you engineer robust production-grade infrastructure around model endpoints integrating custom tooling context pipelines automated evaluations and defensive guardrails to ensure resilience against unstructured real-world data.

You also decide whether a problem needs an agent a simpler automation or nothing at all and you have explicit authority to stop or re-scope work that wont deliver impact. You thrive in ambiguous environments with a low-ego mindset leveraging AI coding tools as core collaborative partners in your engineering workflow.

• Lead product discovery alongside Product Managers and domain experts to understand real workflows map them out and define clear problems baselines and success criteria as the foundation for building agentic solutions.
• Design build test and deploy production agents automations and internal tools using coding agents LLM APIs and agent frameworks integrated with Rubriks internal agent platform and business systems.
• Turn complex processes into multi-agent workflows that carry real work and make decisions: orchestrators that qualify and routes deals workers that move orders through approval and fulfillment under business rules agents that monitor signals and recommend actions for customer health or coordinated agents that handle hire-to-retire steps across HR IT and managers with shared state and clear handoffs.
• Engineer agents for autonomy with reliability including tool and orchestration flows context management caching retries and failure handling.
• Leverage full-stack engineering across backend services APIs data models interactive screens approval UIs and chat interfaces as the complete medium to deliver high-ownership user-facing agent systems.
• Apply solid software engineering practices to AI systems treating prompts skills configs and specs as versioned artifacts with code review tests CI or CD and staged rollouts.
• Implement evaluation guardrails and quality control: derive evals from workflow data establish quality gates and guardrails integrate human-in-the-loop approvals where needed and monitor production runs to refine agents over time.
• Use measured results to decide how to evolve or retire agents and turn successful systems into patterns and libraries that can be reused.

• Around 7 or more years of professional software engineering experience in production systems and 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 background with a track record of designing building and owning services end to end including backend APIs and integrations data models and user facing interfaces such as approval UIs dashboards or chat surfaces.
• A builder mindset: comfortable defining baselines and metrics reporting results in business terms working in a fast moving environment and closing the loop by building demoing learning and building again. If you like seeing improvements in hours saved errors avoided and teams unblocked you will have plenty of chances to measure that here.

• System design: break down complex problems design APIs and data models reason about latency throughput and failure modes and choose simple robust architectures.
• Algorithms data structures access control permissions and data provenance.
• Spec driven development: turn vague requirements into clear problem statements write or refine design docs and use a Spec Plan Task Code Converge flow so work is traceable from design to code including when you use AI coding agents.
• Execution discipline: use version control code review automated tests CI or CD staged rollouts and rollbacks logging metrics and tracing and improve systems based on issues and signals from production.

• Build agents in code using LLM APIs SDKs and libraries not just no code or low code tools and have shipped agentic systems that real users rely on.
• Design robust agent harnesses and multi agent orchestrations: model tools and resources manage context and state and keep runs reliable under real world data and load.
• Establish continuous evaluation and safety mechanisms: turn production failures into test cases gate changes on eval suite results and enforce guardrails across agent workflows.
• Exercise clear judgment on AI fit: decide when a problem needs an agent versus a simpler automation or no build and make tradeoffs around model choice latency and cost context strategy and autonomy using data rather than intuition.

• Knowledge/context graphs: entities and relationships GraphRAG hybrid retrieval.
• Agent frameworks and runtimes: Google ADK LangGraph OpenAI style cloud or container platforms.
• Backend: Python FastAPI or similar stacks.
• Tools integration: MCP Slack or Teams bots REST APIs webhooks.
• Data systems: Snowflake Salesforce graph stores.
• UX: conversational flows chat surfaces guided forms simple dashboards for agent output.

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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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 worlds 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 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.

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 contact. Accommodations may include changes to the application process documents in an alternate format a sign language interpreter or specialized equipment.

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