Design an Evaluation Platform for AI Agents System Design Interview

1. Problem Statement

2. Architecture Discussion Map

Use this as one discussion aid, not a single correct answer. Your design should follow from the requirements, scale, and trade-offs you establish.

graph LR
    A["Design an Evaluation Platform for AI Agents"]
    A --> F1["Eval taxonomy, datasets, and task environments"]
    A --> F2["Trace collection and structured graders"]
    A --> F3["Non-determinism, statistical power, and infrastructure noise"]
    A --> F4["Safety/adversarial cases and human calibration"]
    A --> F5["CI release gates, observability, and feedback loops"]

3. Key Focus Areas

• 1
  Eval taxonomy, datasets, and task environments
• 2
  Trace collection and structured graders
• 3
  Non-determinism, statistical power, and infrastructure noise
• 4
  Safety/adversarial cases and human calibration
• 5
  CI release gates, observability, and feedback loops

4. What Strong Candidates Should Demonstrate

• ✓Evaluate complete workflows rather than only final text.
• ✓Control non-determinism, infrastructure noise, and grader bias.
• ✓Turn production failures into repeatable datasets and release criteria.