Defend

“Sub-second inference latency”

A precise number invites a precise grilling, and full LLM answers rarely finish in under a second.

On your resume

Orchestrating end-to-end chat engine lifecycles, driving critical infrastructure decisions to ensure sub-second inference latency and enterprise-scale reliability.

Cross-questions

3
A strong answer covers
  • Separate time to first token (TTFT) from end-to-end latency.
  • Give p50 and p95, and say where you measured: server or client.
  • Mention streaming. Users feel TTFT, not total time.
Avoid

“The system was fast.” If it was TTFT at p50, say exactly that.

A strong answer covers
  • Break the budget down: authentication, embedding, retrieval, reranking, prefill, decode, guardrails.
  • Levers: parallel retrieval, a lighter reranker, caching embeddings and frequent answers, prompt caching, shorter context, routing simple queries to a smaller model, streaming.
Avoid

Naming optimizations without saying which step each one improved.

A strong answer covers
  • Your concurrency target and how you load-tested it (k6, Locust).
  • Bedrock quotas or provisioned throughput; throttling handled with backoff and jitter.
  • Autoscaling triggers, and what saturated first.
Avoid

Having no load-test number.

Your numbers

Interviewers probe numbers first. Write exact values so you never have to improvise.

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