The 60-second answer
Define the exact task boundary first: what the model should know, retrieve, generate, abstain on, and how success will be measured. Explain the relevant model or retrieval mechanism, including tokenization/embeddings, context construction, attention or decoding behavior, and the main failure modes.
Build the answer in this order
Define the exact task boundary first: what the model should know, retrieve, generate, abstain on, and how success will be measured.
Explain the relevant model or retrieval mechanism, including tokenization/embeddings, context construction, attention or decoding behavior, and the main failure modes.
Evaluate components separately where possible: retrieval quality, groundedness, factuality, task success, latency, and cost; include representative slices and adversarial cases.
Cover production controls such as access-aware retrieval, fallback/abstention, prompt/model versioning, monitoring, and rollback.
A useful interview mental model
This is the shape of a strong answer—not a script to memorize.
Senior-level signal
- Separate model capability from system reliability; a stronger model does not compensate for weak evidence, permissions, or evaluation design.
- Discuss how you would detect silent regressions such as hallucination, evaluator bias, retrieval drift, or cost/latency creep.
What the interviewer is really testing
Likely follow-up questions
Common weak-answer patterns
- Jumping to a model before defining the product contract.
- Listing components without bottlenecks, metrics, or failure handling.
- Ignoring data quality, serving latency, monitoring, and iteration.