Walmart interview questions
Big tech · 2 questions reported
- junior 1
- mid 0
- senior 1
These are 2 technical questions candidates reported being asked in Walmart interviews for AI engineer, ML engineer and applied AI engineer roles, each with a model answer you can say out loud in a minute or two. They cover agents and ml system design: 1 junior, 0 mid-level and 1 senior questions. Every question comes from a public interview write-up that names Walmart.Updated
Walmart agents questions
Model answer
An LLM planner turns the goal into structured intent: category, constraints, budget, occasion. It asks a clarifying question only when the answer would change the results, otherwise it searches with sensible defaults. Each step calls the existing search and filter APIs, inspects results and refines.
Deterministic logic wins wherever correctness is checkable: price, stock, delivery dates, compatibility, policy and safety rules. The LLM picks queries and explains choices; it never invents product facts. Cap the steps for latency, stream partial results, and measure task success and conversion against classic search.
Walmart mL system design questions
Model answer
Predict a path in the taxonomy, like Home, Kitchen, Cookware. Encode the title, description and image and combine them. Predict level by level, or the leaf with a loss that respects the tree so mistakes stay nearby. Seller labels are noisy, so clean them with agreement checks, and send low-confidence items to review.
Each question comes from a public interview write-up or video that names Walmart; the answers are ours. Not affiliated with Walmart.