Inference API System Design

System DesignAnthropicLast reported August 2026High Frequency
Reported
40× across candidate reports
First seen
February 2025
Last reported
August 2026
Also asked in
Phone Screen, Coding
Reported outcome
mixed

Problem Overview

Design an HTTP API service that exposes an LLM (large language model) inference/sampling function to users. Core function given: A black-box model sampling function that takes a list of strings (batch size 1–100) and returns a list of strings (same length). For a batch of any size from 1 to…

  • 18 candidate-reported follow-ups — the exact probes interviewers asked, with the trigger for each
  • The rest of the problem statement — full requirements, constraints, and edge cases
  • Approach and trade-offs — what passing candidates did, and the mistakes that sink people
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Verified Source
Every question is reconstructed from multiple independent candidate reports. Verbatim follow-ups, not invented ones.
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Interviewer Follow-ups
The exact follow-ups reported by candidates, with the trigger that prompts each one — plus the mistakes that sink people.
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