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🚩 Red flags you emit without noticing

When: rehearsing. The sentences that cost you the round.

Each of these is something a competent person says while meaning something reasonable. The problem is what it sounds like from the other side of the table.

About measurement

You say They hear Say instead
"It improved by 3%" You do not know what an interval is "+3 points, 95% CI +1.2 to +4.9, on 400 questions"
"It works well" You have not measured it "On our eval set it scores X; here is what that set does not cover"
"Accuracy is 92%" You do not know the base rate "92%, against an ungrounded floor of 61%"
"The model is very accurate" You have not separated retrieval from generation Which of the four verdicts, and their proportions
"We A/B tested it" Possibly nothing Sample size, duration, and what the metric's variance was

About design

You say They hear Say instead
"We use a vector database" You chose a category, not a design The filter and residency requirements that decided it
"We chunk at 512 tokens" You copied a default "We bake off; on this corpus structural at ~400 won by X"
"We use RAG" You have not thought about the alternative What retrieval buys here that a longer context would not
"We added a reranker" You may have added an identity function What the reranker sees that the first stage did not
"We'll fine-tune the embeddings" You are reaching for the expensive option first What you measured that says the base encoder is the bottleneck
"We filter results by permission" Post-filtering. A leak and a k collapse "We pre-filter inside the query"

About judgement

You say They hear Say instead
"The client wanted X so we built X" You do not push back "They asked for X; I showed them Y was the actual constraint"
"It's a hard problem" You are avoiding the question Name the specific hard part
"We didn't have time to evaluate" You will do this to them too "We shipped without a gate and here is what that cost us"
"That was before I joined" You do not own the system What you would change now, and why it has not been changed
"I'd need to look that up" (and stop) You have no model Look it up out loud: what you'd expect, and why

The subtle ones

Being right in every story. A behavioural round asking about disagreement wants to hear you change your mind on evidence. A candidate who was right every time has either not worked with good people or is not telling you the truth.

Fluency without a number. The most dangerous failure mode for a strong communicator: a beautifully argued answer with nothing measurable in it. Interviewers who have been burned listen specifically for this.

Naming techniques as a substitute for mechanisms. "We'd use HyDE, maybe ColBERT, possibly RAPTOR" sounds like breadth and reads as a reading list. One technique with its precondition stated beats five names.

Never saying "I don't know." It reads as either dishonesty or lack of self-awareness, and both are worse than the gap.

The single strongest move available to you

Volunteer a limitation before you are asked.

"What this does not give me is distributional realism — my corpus is synthetic, so the absolute numbers will move on real data. What transfers is the harness, not the constants."

You have demonstrated the thing they are screening for: knowing which parts of your own result generalise. A candidate who defends their numbers as universally valid is a risk. One who says "the method transfers, the constants do not" is describing how they will behave on the client's data — which is the only thing the interview is really about.