Design Hebbia Chat for SEC Filings

Quick Overview

This question evaluates expertise in ML system design, specifically the ability to architect a multi-agent retrieval-augmented generation pipeline at scale. It tests practical knowledge of agent orchestration, streaming, cancellation, and token-budget enforcement — core competencies for senior ML and software engineering roles focused on LLM-powered products.

Design Hebbia Chat for SEC Filings

Company: Hebbia

Role: Software Engineer

Category: ML System Design

Difficulty: medium

Interview Round: Technical Screen

Overview: This question evaluates expertise in ML system design, specifically the ability to architect a multi-agent retrieval-augmented generation pipeline at scale. It tests practical knowledge of agent orchestration, streaming, cancellation, and token-budget enforcement — core competencies for senior ML and software engineering roles focused on LLM-powered products.

Hebbia logo
Hebbia
Jun 1, 2026
mediumSoftware EngineerTechnical ScreenML System Design
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