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Design AI-Powered Document Search

Last updated: May 1, 2026

Quick Overview

This question evaluates system-design and machine-learning engineering skills for building a scalable AI-enabled document ingestion pipeline, covering OCR, metadata and keyword extraction, indexing, fault-tolerant orchestration, retries, reprocessing, and monitoring.

  • medium
  • Workday
  • ML System Design
  • Software Engineer

Design AI-Powered Document Search

Company: Workday

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Onsite

Quick Answer: This question evaluates system-design and machine-learning engineering skills for building a scalable AI-enabled document ingestion pipeline, covering OCR, metadata and keyword extraction, indexing, fault-tolerant orchestration, retries, reprocessing, and monitoring.

|Home/ML System Design/Workday

Design AI-Powered Document Search

Workday logo
Workday
Apr 1, 2026, 12:00 AM
mediumSoftware EngineerOnsiteML System Design
3
0
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