Design a Scalable and Safe Agentic System
Last updated: July 10, 2026
Quick Overview
Design a scalable and safe agentic system that can operate autonomously while ensuring user safety and system reliability.
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Design a scalable and safe agentic system that can operate autonomously while ensuring user safety and system reliability.
This question is typically asked in the technical screen round to assess a candidate's ability to conceptualize complex systems that leverage machine learning. Interviewers are looking for a candidate's understanding of system architecture, scalability, and the ethical implications of autonomous systems. The ability to balance innovation with safety and reliability is crucial in a company like Google, which prioritizes user trust and system integrity.
What the Interviewer Expects
- Clearly define the requirements and objectives of the agentic system.
- Outline a high-level design that includes key components and their interactions.
- Discuss potential risks and safety measures to mitigate them.
- Explain scalability considerations and how the system can handle increased loads.
- Provide examples of real-world applications or similar systems.
Key Topics to Cover
How to Approach This
- Start by mapping the business objective to a concrete ML objective and metric.
- Cover the full pipeline: data collection, feature engineering, model selection, training, serving.
- Discuss online vs offline evaluation. Plan an A/B test to validate real-world impact.
- Address the serving latency budget and whether batch or real-time inference is needed.
- Think about the data flywheel: how user feedback improves the model over time.
Possible Follow-up Questions
- How would you handle unexpected behaviors in the system?
- What metrics would you use to evaluate the system's performance?
- Can you discuss a similar project you have worked on?
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Practice ML System Design ProblemsSample Answer
Requirements
To design a scalable and safe agentic system, we first need to establish clear requirements. The system should be able to operate autonomously, make decisions based on real-time data, and interact wit...
High-Level Design
The high-level design of the agentic system can be broken down into several key components:
- Data Ingestion Layer: Responsible for collecting and preprocessing data from various sources.
- **D...
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