Design and implement AI-driven agents that assist, collaborate with, or autonomously perform complex development tasks across large-scale game projects
Create agents that can understand game engine context, assist in asset generation, debug complex systems, or simulate player behavior at scale
Identify bottlenecks in traditional game dev (design, QA, coding, or art) and bridge the gap with AI-driven solutions that turn weeks of manual work into hours of supervised generation
Collaborate with gameplay engineers and technical artists to integrate these agents into our proprietary engine and toolsets
Explore novel applications of modern AI techniques (e.g., LLMs, reinforcement learning, multi-agent systems) to create new ways of building, iterating on, and shipping games
Work closely with engineers, designers, artists, and technical leadership to identify high-impact opportunities for AI-powered transformation
Prototype, evaluate, and iterate on experimental systems, balancing long-term vision with practical integration into real production environments
Help define internal platforms, tools, and architectures that enable AI agents to operate safely, effectively, and at scale within our development ecosystem
Stay ahead of emerging research and industry advances, translating pioneering ideas into production-ready solutions

Requirements

5+ years in Software Engineering, with at least 2+ years focused specifically on AI/Machine Learning
BS/MS in Computer Science, AI, Robotics, or a related field (or equivalent "in-the-trenches" experience)
Strong background in AI, machine learning, or applied research, with experience building real-world systems (not just models)
Hands-on experience with modern AI frameworks and techniques, such as large language models, agent frameworks, reinforcement learning, or hybrid symbolic/ML systems
Excellent software engineering skills, with experience working in large, complex codebases
Expert-level proficiency in Python (for AI/Tools) and C++ (for Engine integration)
Demonstrated success deploying agentic workflows or complex ML models into production environments
Ability to think beyond incremental optimization and envision entirely new workflows enabled by intelligent systems
Strong communication skills and the ability to collaborate across teams
Passion for games, interactive systems, or creative technology is a major plus.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AIMachine LearningPythonC++Reinforcement LearningLarge Language ModelsAgent FrameworksHybrid Symbolic/ML SystemsSoftware EngineeringComplex Codebases

Soft Skills

Strong CommunicationCollaborationProblem SolvingVisionary ThinkingAdaptabilityTeamworkCreativityLeadershipCritical ThinkingPassion for Games

Certifications

BS in Computer ScienceMS in Computer ScienceBS in AIMS in AIBS in RoboticsMS in Robotics