Build an LLM-driven text-game agent

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Quick Overview

This question evaluates a candidate's understanding of integrating large language models into interactive agents, including prompt design, game-state summarization and serialization, constrained action parsing, retry and fallback strategies, context-window management, logging and experiment tracing, testing, and debugging of failure modes.

Build an LLM-driven text-game agent

Company: Cohere

Role: Machine Learning Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Onsite

Overview: This question evaluates a candidate's understanding of integrating large language models into interactive agents, including prompt design, game-state summarization and serialization, constrained action parsing, retry and fallback strategies, context-window management, logging and experiment tracing, testing, and debugging of failure modes.

Read the full Cohere Machine Learning Engineer interview experience this question came from

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Cohere
Dec 25, 2025
mediumMachine Learning EngineerOnsiteSoftware Engineering Fundamentals
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