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Watch a real mock interview. Answer each hard question, then see the staff-level answer.
Watch a free interview → no ML background needed ✓problems reported from OpenAI · Anthropic · Perplexity
LLM serving, GPU scheduling, RAG, agents, evals.
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Updated as new reports come in.Full mocks you pause and answer.
With the mid, senior and staff answer.AI infra is distributed systems with a model in the middle
new to learn: tokens · KV cache · GPU memory · batching · evals
yours to edit ↗Software engineers (backend, infra, platform, full-stack) going after AI engineer and AI infrastructure roles, from mid to staff. Each interview is broken down for every level.
No. AI infra rounds are distributed systems with a model in the middle, so most of what you know carries over: load balancing, queues, caching, rate limits, streaming, idempotency. What's new is a short list: tokens and context windows, the KV cache and GPU memory, batching, retrieval and evals. The interviews teach those as they come up, on top of what you already know.
Our interviewer and candidate. Every interview is written by us from candidate reports, reviewed, and produced with AI voices, which is how we ship new problems and every level of each.
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