Netflix
Senior
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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Free · a live voice mock calibrated to this exact role
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
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