Design an Enterprise Tool-Using Agent
Company: ByteDance
Role: Machine Learning Engineer
Category: ML System Design
Difficulty: medium
Interview Round: Technical Screen
Design an enterprise LLM agent that can use external tools to complete multi-step business tasks. Assume the agent may call tools such as document retrieval, search, SQL or warehouse queries, ticketing systems, messaging APIs, and workflow services.
Discuss the following:
1. What major problems and failure modes appear when tool-using agents are deployed in real applications?
2. How would you represent, persist, and maintain complex state across long-running, multi-turn, and potentially branching workflows?
3. How would you evaluate the quality, reliability, safety, and business usefulness of such a system, both offline and online?
Your answer should cover system architecture, state management, safety and observability, and an evaluation strategy.
Overview: This question evaluates a candidate's ability to design production-grade LLM agents that integrate external tools, manage long-running and branching workflows, persist complex state, and ensure safety, observability, and reliable evaluation in enterprise settings.
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