On-device AI is a real product surface (privacy, offline, latency), and it forces hard constraints. The signal is the quantization plus format plus runtime stack and the tradeoffs you accept under tight memory and battery budgets.
Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.
On-device AI is a real product surface (privacy, offline, latency), and it forces hard constraints. The signal is the quantization plus format plus runtime stack and the tradeoffs you accept under tight memory and battery budgets.
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