Design a Multi-Agent Document Search and Visualization Product
Company: Hebbia
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: hard
Interview Round: Onsite
Overview: An ML system-design interview about building a multi-agent product for document search, evidence retrieval, and visualization. Candidates must define agent responsibilities, coordinate tool use, preserve citations, manage failures, and evaluate the product end to end.