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Design an LLM API pipeline

Last updated: Apr 30, 2026

Quick Overview

This question evaluates a candidate's ability to integrate large language models into applications, encompassing API integration, prompt engineering, response validation, and production-readiness considerations.

  • easy
  • Scale AI
  • ML System Design
  • Software Engineer

Design an LLM API pipeline

Company: Scale AI

Role: Software Engineer

Category: ML System Design

Difficulty: easy

Interview Round: Onsite

You need to build a small application feature that calls a hosted large language model API to solve a user task. In the interview, you are expected to: 1. Show how you would call the LLM API. 2. Explain how you would write the prompt so the model produces useful and structured output. 3. Add validation on top of the model response. 4. Discuss what additional concerns you would address before shipping this feature to production. Assume the exact business task is not the main focus. The interviewer wants to evaluate your ability to integrate an LLM into an application, validate the output, and think through production readiness.

Quick Answer: This question evaluates a candidate's ability to integrate large language models into applications, encompassing API integration, prompt engineering, response validation, and production-readiness considerations.

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Scale AI
Mar 17, 2026, 12:00 AM
Software Engineer
Onsite
ML System Design
41
0

You need to build a small application feature that calls a hosted large language model API to solve a user task. In the interview, you are expected to:

  1. Show how you would call the LLM API.
  2. Explain how you would write the prompt so the model produces useful and structured output.
  3. Add validation on top of the model response.
  4. Discuss what additional concerns you would address before shipping this feature to production.

Assume the exact business task is not the main focus. The interviewer wants to evaluate your ability to integrate an LLM into an application, validate the output, and think through production readiness.

Solution

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