Describe past impact and conflict handling

Q: Describe past impact and conflict handling

This is a Behavioral & Leadership interview question from Uber for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

Behavioral and Leadership: AI Function Calling End-to-End + Conflict Resolution

Context

You are interviewing for a Machine Learning Engineer role. The interviewer asks you to demonstrate end-to-end ownership of an AI function-calling project and to show how you lead through ambiguity and conflict.

Prompt

Walk through a past project where you implemented AI function calling end-to-end. Cover:

Problem context and why function calling was the right approach
Your role and ownership boundaries
Key technical decisions (LLM/provider, API design, orchestration, data modeling, schemas, logging)
Tooling/stack (frameworks, infra, evals, monitoring, CI/CD)
Main challenges and how you addressed them (e.g., JSON brittleness, latency, hallucinations, privacy)
Measurable impact with concrete metrics

Describe a time you faced conflicts or blockers while driving this project (e.g., cross-team priorities, design disagreements):

Root-cause diagnosis
How you aligned stakeholders and made trade-offs
Actions you took to move forward and the outcome
What you would do differently in hindsight

Aim for a crisp, structured narrative with specific metrics and decisions (8–10 minutes).

Describe past impact and conflict handling

Behavioral and Leadership: AI Function Calling End-to-End + Conflict Resolution

Context

Prompt

Solution (Locked)

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