1 AI Explorer for Gameplay & Systems Testing Overview PFE

Project Overview

• Conception and implementation of autonomous AI agents that test game levels, systems and interactions automatically.
• The agent behaves like a player: exploring the world, triggering events, detecting bugs and reporting issues.

Main Features / Responsibilities

• Autonomous navigation and interaction testing across levels and game systems.
• Detection and reporting of missing collisions, stuck areas, dead ends, and other playability issues.
• Encounter balance and difficulty spike analysis to identify problematic gameplay tuning.
• Generation of automated reports including screenshots and logs for reproducible bug reports.

Technology & Tools

• Unreal Engine 5 integration for scene interaction, navigation and screenshot capture.
• Reinforcement Learning models and Python for training and running autonomous agents.
• Gameplay debug tools and logging systems to capture events, states and diagnostic data.

Candidate Profile & Expected Deliverables

• Build AI agents capable of exploring levels, triggering events and recognizing anomalous states.
• Implement automated pipelines to record screenshots, logs and generate human-readable reports of findings.
• Experience or strong interest in UE5, RL algorithms, Python scripting and gameplay debugging is recommended.

How to Apply

• To apply, send your application and CV to recruitment@lanterns-studios.com.
• Use a clear subject line indicating the project (see email subject field).