Build the Agent SDK and MCP Gateway that Netflix engineers use to ship production AI agents

Design and operate Netflix's foundational agent infrastructure — Model Gateway, Assistance API, MCP Gateway, Agent SDK, and evaluation stack — that every AI agent team at Netflix builds on. This is a platform role spanning agent lifecycle infrastructure, evaluation/observability, and reliability at very high scale.

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What this interview tests

Agent lifecycle infrastructure: plan/act/observe loops, tool/MCP integrations
LLM agent evaluation, tracing, and observability
SDK/API design for internal developer platforms
Reliability and guardrails for non-deterministic systems at scale
Cross-functional leadership with ML scientists and other AI Platform teams

Common question themes

Design an Agent SDK / MCP Gateway used by many internal teams

Building an evaluation suite that catches agent regressions before production

Debugging a non-deterministic agent failure at scale

Tradeoffs in tool/function calling and MCP integration design

Balancing fast iteration with users against durable platform foundations

Fault-tolerant, observable distributed systems fundamentals

How candidates describe it

Real Software Engineer 5 – Agent Platform interview stories — retold from candidates' public write-ups, with sources.

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Google L5 software engineer interview: phone screening, three onsite rounds, system design, and a late rejection

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Interviewed January 2023 · Not specified

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