AI inference engineers in 'crazy demand': researcher lists 25 interview problems, hiring now
DrDatta_AIIMS · x · 2026-10-24
AI inference engineers are in "crazy demand" right now. A researcher running an academic AI inference group says they're hiring: the team optimizes as many open models as possible on a shoestring budget, serving users through an arena interface while keeping GPU utilization above 80% and latency low.
The quoted thread lists 25 interview problems for AI inference engineering roles, in recommended practice order, including:
- The full path from a request arriving to the first token leaving
- Streaming tokens over SSE, handling disconnects, and canceling in-flight generation
- Sizing the KV cache for a Llama-style 70B model at 32K context with 100 users, accounting for GQA and precision
- PagedAttention and the problem it solves
- Why FlashAttention is faster even when the math is identical
- Designing continuous batching under latency deadlines vs static batching
- Handling a 100K-token prompt that stalls short chats
The role also offers a career path: join the startup spin-out, lead papers on healthcare inference engineering, or leverage that into a PhD abroad.
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