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Gaming Ai Engineer Jobs (NOW HIRING)

The AI Engineer will work on building next-generation autonomous systems, focusing on multimodal models that enhance robotic performance in complex environments. Responsibilities : • Design, train ...

Applied AI Engineer

Addison, IL · On-site +1

$133K/yr

That's what keeps us at the top of our game. We're proud that our workplace has been recognized for ... The Job at a Glance The Applied AI Engineer will advance internal AI capabilities by owning and ...

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

The Role As a Senior AI Agent Engineer, you'll be at the center of how we build, train, deploy, and ... Background in gaming, entertainment, or media technology * Experience with multi-modal AI (voice ...

That's what keeps us at the top of our game. We're proud that our workplace has been recognized for ... The Job at a Glance The Applied AI Engineer will advance internal AI capabilities by owning and ...

Senior AI Engineer

Los Altos, CA · On-site +1

$123K - $169K/yr

The Role As a Senior AI Agent Engineer, you'll be at the center of how we build, train, deploy, and ... Background in gaming, entertainment, or media technology * Experience with multi-modal AI (voice ...

That's what keeps us at the top of our game. We're proud that our workplace has been recognized for ... The Job at a Glance The Applied AI Engineer will advance internal AI capabilities by owning and ...

AI Engineer - Vatic Labs

Manhattan, NY · On-site

$175K - $275K/yr

Vatic is looking for an AI engineer with proven experience with large foundational models. Our ... Organized poker, ping pong, and game nights - We're a competitive group that enjoys getting ...

Agentic AI Engineer

Seattle, WA · On-site

$150 - $200/hr

... marketing automation, and game-day engagement solutions bolted together. That creates a ... The Role We're hiring an Agentic AI Engineer to scale the Envorso sports platform, both as a ...

RSL-RL, RL-Games, skrl, or Stable-Baselines3. * Strong Python and the deep learning stack, such as ... AI robotics engineers with strong reinforcement learning and simulation expertise. At TD SYNNEX ...

RSL-RL, RL-Games, skrl, or Stable-Baselines3. * Strong Python and the deep learning stack, such as ... AI robotics engineers with strong reinforcement learning and simulation expertise. At TD SYNNEX ...

And if you want to reach into the React Native app and go full-stack, that is fair game too. How We Build We are an AI-native engineering team, and we mean it: • We don't hand-write code. Claude ...

Global brands including McDonald's, NetEase Games, GoFundMe, and Rappi run their payments on Yuno. About The Role Yuno is looking for a Staff AI Engineer to be the senior technical leader for ...

Showing results 41-60

Gaming Ai Engineer information

What is a Gaming AI engineer?

Gaming AI Engineers are specialized software engineers who design and implement artificial intelligence systems within video games. Their work involves creating algorithms that control non-player characters (NPCs), generate intelligent behaviors, and enhance player experiences through adaptive and realistic game environments. They collaborate closely with designers and developers to ensure that AI matches the vision and requirements of the game. Gaming AI Engineers often use machine learning, pathfinding, decision trees, and other techniques to make in-game entities react intelligently to player actions.

What are the key skills and qualifications needed to thrive as a Gaming AI engineer?

To thrive as a Gaming AI Engineer, you need strong programming skills (especially in C++/Python), expertise in AI algorithms, and a degree in computer science or a related field. Familiarity with game engines (like Unity or Unreal Engine), machine learning frameworks, and version control systems is typically required. Creativity, problem-solving, and effective teamwork are vital soft skills for designing engaging and realistic game AI. These skills ensure the creation of immersive, intelligent game experiences and efficient collaboration in a multidisciplinary development team.

What are some common challenges Gaming AI engineers face when developing intelligent NPC behavior?

Gaming AI Engineers often encounter challenges in balancing realistic NPC behavior with performance constraints to ensure a smooth gaming experience. Creating believable and adaptive AI requires designing algorithms that can react to dynamic player actions while not overburdening the game’s processing resources. Additionally, integrating AI with other systems, such as animation and physics, often demands close collaboration with designers and programmers to maintain both gameplay quality and technical feasibility.
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Infographic showing various Gaming Ai Engineer job openings in the United States as of September 2026, with employment types broken down into 13% Internship, 62% Full Time, and 25% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution.

AI Engineer - Fury Team

Sunnyvale, CA • On-site

Full-time

Re-posted 9 days ago


Job description

Job Summary:
Scout AI is developing Fury, the first robotic foundation model for defense, aimed at providing U.S. forces with advanced autonomous capabilities. The AI Engineer will work on building next-generation autonomous systems, focusing on multimodal models that enhance robotic performance in complex environments.
Responsibilities:
• Design, train, and evaluate state-of-the-art VLA models for robotic systems
• Implement scalable architectures for multimodal model fusion, continual learning, and domain adaptation
• Develop dynamic memory, communication, and tool use faculties for AI agents
• Translate foundational research into deployable, real-time perception and decision-making systems
• Collaborate across engineering, robotics, and mission teams to integrate ML pipelines with onboard autonomy
• Develop and maintain codebases for training, simulation, and real-world inference
• Conduct experiments to benchmark performance and robustness in diverse, unstructured environments
• Track, digest, and incorporate breakthroughs from the latest literature in VLMs, RL, CV, and autonomous agents
• Support field trials and mission operations to validate model performance under real-world constraints
Qualifications:
Required:
• 2+ years of hands-on experience building and deploying AI models, ideally in agentic AI, robotics, autonomous systems, or real-time applications
• Strong background in computer vision, deep learning, or multimodal architectures (VLMs, transformers, or agents)
• Proficiency in Python and frameworks like PyTorch or TensorFlow; bonus for JAX, CUDA, or real-time inference experience
• Solid grasp of modern model training techniques including distributed training, fine-tuning, and reinforcement learning
• Bachelor's degree or higher in Computer Science, AI, or related technical field, MS/PhD preferred
• Demonstrated ability to take research from prototype to product in fast-moving environments
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities
Preferred:
• Experience with embodied AI systems or mission-oriented deployments (DoD, aerospace, robotics)
Company:
Scout AI develops artificial intelligence systems for defense robotics, focusing on enabling autonomous behavior across unmanned platforms. Founded in 2024, the company is headquartered in Sunnyvale, USA, with a team of 11-50 employees. The company is currently Early Stage.