Character.AI

Typical interview loop

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

1. 1

   Recruiter screen

   Focus: Background, motivation

   A short call to line up your background and interests with the open role and explain how the rest of the process runs.

2. 2

   Hiring manager screen

   Focus: Scaling and performance experience

   A technical conversation with the hiring manager about how you dealt with scale or performance problems in past jobs.

3. 3

   Technical phone screen

   Focus: Coding, inference basics

   An hour of live coding, mostly in Python, that pairs an algorithms problem with a short talk about distributed systems or model inference.

4. 4

   Onsite coding

   Focus: Algorithms, clean code

   One or two live coding rounds at medium-to-hard difficulty, part of a four-to-five round virtual onsite.

5. 5

   ML inference and chat system design

   Focus: LLM serving, stateful design

   One round on serving models in production (latency, GPU cost) and one on designing a high-throughput chat system that keeps conversation state.

6. 6

   Behavioral and leadership

   Focus: Mission fit, ownership

   A culture and mission round on ownership and handling ambiguity; senior candidates may also meet a founder or the CTO about technical direction.

How it weights your plan

Selecting Character.AI when you build a plan multiplies each topic’s priority score: