314,552 interview questions from 6,000+ companies.
Explain how to manage memory, summarization, retrieval, and safety in a long-running LLM agent when context exceeds the model window.
Design state management for a multi-agent application where agents coordinate over long-running tasks, tool calls, and handoffs.
Tests ability to design for high concurrency, throughput, and reliability in an agentic platform.
Tests knowledge of techniques to improve planning and reasoning quality beyond prompts in production agents.
Tests safety and correctness strategies to prevent harmful outputs when agents can take real actions.
Tests ability to define metrics, test plans, and evaluation methods for real-world agent performance.
Tests ability to choose orchestration patterns that balance reliability, latency, and state management for agent tool use.
Tests system design for tool routing, selection logic, and safe execution under changing task context.
Tests design of resilient agent execution with clear failure handling and recovery strategies.
Tests ability to add safe approvals while maintaining throughput and responsiveness in production.
