Wise

Typical interview loop

How Wise usually runs it for applied AI and LLM engineer roles.

1. 1

   Recruiter conversation

   Focus: Background and motivation

   A call about your experience and motivation, where the recruiter also walks you through the role and the next steps.

2. 2

   Pair programming

   Focus: Clean code, problem breakdown, collaboration

   A one-hour shared coding session on HackerRank CodePair, mostly in Java though other languages can be arranged, where you solve a practical task together with an engineer.

3. 3

   System design

   Focus: Architecture and trade-off reasoning

   Two engineers give you a product problem; you sketch a high-level architecture on a shared whiteboard, then go deeper on data, failure handling and trade-offs.

4. 4

   Engineering product round

   Focus: Customer focus and product impact

   A conversation, usually with product managers, where you walk through a project you're proud of: how you measured impact and how you worked across functions.

5. 5

   Meet the team

   Focus: Values fit and working style

   You meet team members and your lead to talk about the day-to-day work, answering open and scenario-based questions about how you decide and work.

Topics to prepare for Wise

The topics its loop weighs most, each with what interviewers check and what to study.

• GenAI system designSystem design
• Cost and latency engineering for LLM appsSystem design
• RAG vs fine-tuning vs prompting: choosing the approachSystem design
• Design an AI customer-support agentSystem design
• Design enterprise document search / a knowledge assistantSystem design
• Behavioral interviews: STAR stories for AI engineersBehavioral
• Python for ML interviewsCoding
• Calling LLM APIs in Python: async, streaming, retriesCoding

How it weights your plan

Selecting Wise when you build a plan multiplies each topic’s priority score: