Define latency, throughput, context, quality, and cost SLOs; route requests by model capability, batch continuously, manage KV memory, and stream output. Add admission control, fallbacks, versioned prompts, safety filters, canaries, and token-level telemetry.
Make interfaces and ownership explicit; add versioning, access control, monitoring, canary rollout, rollback, and a plan for delayed labels or human review.
Get asked follow-ups live, then receive a scored report — like a real MLE interview loop.
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