2-Year AI Agent Engineer Interview: Token Costs, LangGraph, MCP & Production Incidents
Source title: 2-Year AI Agent Engineer Interview: Token Costs, LangGraph, MCP & Production Incidents. Source description: What does an AI Agent Engineer actually own after two years in the job? This 2-Year AI Agent Engineer interview goes beyond definitions and textbook answers. We get into the problems that show up when agentic systems are running for real: token costs, LangGraph architecture, MCP tool servers, runaway tool-calling loops, multi-agent coordination, caching, memory, Redis budgets
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Source title: 2-Year AI Agent Engineer Interview: Token Costs, LangGraph, MCP & Production Incidents. Source description: What does an AI Agent Engineer actually own after two years in the job? This 2-Year AI Agent Engineer interview goes beyond definitions and textbook answers. We get into the problems that show up when agentic systems are running for real: token costs, LangGraph architecture, MCP tool servers, runaway tool-calling loops, multi-agent coordination, caching, memory, Redis budgets
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The title and description alone do not establish the agent autonomy level.
Agents In Use pipeline: video selected by TypeSafe Jev using source title/description only; recording and outcomes not independently verified.
Credit: KRITYAAILABS
Source published 4 Oct 2026
Source checked 14 Oct 2026
Tools and topics
AI agent
video · agent-demo
Editorial completeness: 75/100. Measures documented fields, not agent performance or verified outcomes.
Video notes
KRITYAAILABS · YouTube
- Source title: 2-Year AI Agent Engineer Interview: Token Costs, LangGraph, MCP & Production Incidents