Senior AI Engineer - NBA 2K

Visual Concepts is one of the world’s top game development studios, known for creating NBA 2K. They are seeking an exceptional AI Engineer to design and develop intelligent agents that will enhance game development processes and capabilities.

Responsibilities:

• 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