Crayon AI Engineer Interview Questions

Design the infrastructure for a multi-agent system where agents communicate, coordinate work, and recover from non-deterministic failures.

Feature StoreModel ServingRecommendation SystemsCrayon

Explain a practical approach to fine-tuning an LLM for a specific task, including data, evaluation, and hallucination risks.

Prompt EngineeringLLM EvaluationFine-TuningCrayon

Pick the right metrics to evaluate a machine learning model and explain why they fit the problem.

PrecisionAccuracyRecallCrayon

Practical approach for maintaining data quality across ML ETL pipelines, orchestration, and repeatable data processing.

Data QualityETLData ModelingCrayon

Evaluates practical knowledge of embeddings and retrieval for AI systems.

Vector SearchNLPCrayon

Find two indices in an array whose values sum to a target using a hash table in O(n) time.

Hash TablesArraysTwo PointersCrayon