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Hebbia

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Hebbia is an AI startup that builds enterprise search and document analysis software, using large language models to help professionals in finance, law, and other knowledge-intensive fields extract insights from large volumes of documents. It is known for its Matrix product, which enables users to query and analyze complex datasets at scale.

2 interview notes · updated Jul 2026

Hebbia·Software Engineer·Onsite - System Design / Architecture

May 2026
System design round at Hebbia for a software engineer role, focused entirely on building the backend for an LLM-powered chat product in a fintech context. Pretty meaty scope: streaming responses, multi-agent orchestration, tool calls, compliance concerns, the works. Left feeling like I covered the broad strokes but probably underdeveloped the failure handling section.
  • Design the backend for an LLM-powered chat product used in a financial-technology setting. Cover the architecture, main services, data model, request flow, scaling strategy, and failure handling. The frontend is a simple chat UI but your scope is the backend only.

“This is a big one.”

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Hebbia·Software Engineer·Technical Phone Screen

May 2026
Coding round at Hebbia for a software engineer role. The whole thing was one extended problem that kept getting layers added on, which I didn't fully expect. Felt okay about the core part but the compressed snapshot extension tripped me up a bit.
  • Implement an LRU cache with fixed capacity that supports get and put operations, evicting the least recently used entry when full.
  • Write a snapshot function that returns the current cache contents in order from most to least recently used.
  • Extend the snapshot to support compressed output: group keys that share the same value, and clarify how ordering should be preserved across groups.

“Pretty standard stuff if you've seen it before.”

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