Author(s): Shahidullah Kawsar

Originally published on Towards AI.

AI Engineer Interview Preparation

1.
A global travel platform is building an AI assistant that can search flights, search hotels, check weather, and convert currencies. A user asks it to plan a weekend trip from New York to Paris and show the estimated cost in euros. Flight, hotel, and weather lookups do not depend on each other, but currency conversion depends on the prices returned from the first tools. What orchestration design best fits this request?

After the lead question, the article continues with a sequence of multi-tool orchestration MCQs that reinforce key design patterns: run independent tool calls in parallel but chain dependent calls after required inputs are available; treat multiple tool calls as separate operations and return results matched to their call IDs; stop and ask for clarification when identity or timing is ambiguous rather than guessing; apply policy controls before performing side-effecting actions (e.g., block deletions under legal hold and avoid misleading completion messages); add safety guards for iterative loops by detecting repeated calls and enforcing limits; support graceful degradation by returning structured partial results when some tools fail (e.g., timeouts) and never hide failures by hallucinating; aggregate diverse tool outputs into a coherent, user-facing answer; and remain transparent about tradeoffs and timeouts (e.g., show quote ranges and delivery-cost tradeoffs rather than silently cherry-picking).

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Published via Towards AI