Copart Software Engineer interview questions

You said: Goal Design a minimal system that uses an LLM-based AI Agent to collect missing details from a user (User Info, Vehicle Info, ZIP) and then return a price quote once the required data is complete. You are not expected to build a full pricing engine. Use a simple deterministic pricing stub. Part 1 — Agent Prompt The agent must: * Accept partial input in any order. * Ask only for missing required fields. * Validate basic formats (ZIP = 5 digits; year reasonable; mileage numeric). * Produce strict JSON output every turn (no extra text). Required fields to collect: * userInfo: fullName (required), contact (required) * vehicleInfo: year, make, model, trim (optional), mileage (required), condition (required: one of excellent|good|fair|poor) * zipCode (required) When all required fields are present and valid, return status="READY_FOR_PRICING" with the normalized payload. When you have all the details you can generate a random price Otherwise return status="NEED_MORE_INFO" and include nextQuestion. Part 2 — REST API Design + Pseudo Code Design a RESTful service that: 1. Receives user messages / partial input. 2. Calls the agent with session context. 3. Either returns the agent’s next question OR returns a final price quote. Raj will ask you screenshare and be demanding