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Microsoft AI Engineer Interview Guide

How to prepare for a AI Engineer interview at Microsoft: the interview process, what this role is evaluated on, and sample questions with tips.

Updated 2026-09

The AI Engineer role at Microsoft

Microsoft llm apps, evals, and production ai. This guide combines Microsoft's interview process with the specific expectations for a AI Engineer, so you can prepare for both the company bar and the role bar at once.

How to prepare for an AI Engineer interview: LLM application design, retrieval, evaluation, and the production concerns that matter.

Interview process at Microsoft

Phone screen: 1 coding round with a team engineer.
Onsite: 4-5 rounds — coding, system design (for senior), and behavioral focused on collaboration.
As-appropriate (AA) round: a final interviewer who checks fit beyond the specific team.

What Microsoft looks for

Growth mindset — learn from feedback and failure.
Collaboration — how you work across teams.
Customer and product focus — especially for product teams.
Solid CS fundamentals in coding and design.

What a AI Engineer is evaluated on

Designing an LLM feature end-to-end (retrieval, generation, evals).
Trade-offs: cost vs quality, latency vs thoroughness, fine-tune vs RAG.
Measuring and improving quality systematically.
Safety: prompt injection, hallucination mitigation, output validation.

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