Problem
Scenario
You are building an AI agent that uses tools to complete multi step tasks, then learns from outcomes and corrections over time. The product team wants the agent to improve from user feedback, execution traces, and failed tool calls without degrading reliability.
Question
Given a requirement for a self-correcting agent, how would you design the feedback loop?
Practicing as: Agentic AI Engineer interview at DatabricksHi, I'll play your Databricks interviewer for the Agentic AI Engineer role. Candidates describe these interviews as mixed and moderately difficult, so expect me to be professional and fair. Take your time with the question above and answer like we're in the room.
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