Discord

Typical interview loop

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

1. 1

   Recruiter screen

   Focus: Background and logistics

   A roughly 30-minute call on eligibility, pay expectations and which teams interest you, sometimes with a few light technical questions.

2. 2

   Hiring manager screen

   Focus: Fit and team match

   A conversation about your background and goals that leans behavioral and often decides which team you are matched with.

3. 3

   Skills test

   Focus: Practical coding

   An hour of live coding with a Discord engineer on a product-flavoured problem, with reference material allowed.

4. 4

   ML deep-dive and case study

   Focus: Applied ML judgment

   For ML roles, a conversation about your ML knowledge and past projects plus a take-home case study, such as building a small model, that you present.

5. 5

   Architecture

   Focus: Real-time system design

   Design a real-time system in the spirit of chat, voice or presence, covering diagrams, trade-offs and how it fails.

6. 6

   Values and attitude sessions

   Focus: Values and collaboration

   Conversations on the full-day panel, one of them with a partner from outside engineering, about ownership, collaboration and how you work across teams.

Topics to prepare for Discord

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
• Embeddings basics: word2vec, contrastive learning, what embeddings captureML fundamentals

How it weights your plan

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