Technical Director, Applied AI
B
BeffioGame development, applied AI
United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English.
- Experience
- Strong senior-level technical experience
- Required Skills
- PythonTypeScriptC#C++Unreal engine
Requirements
- Bring strong senior-level technical experience in software engineering, Technical Art, tools development, creative technology, procedural systems, game development, or a comparable field.
- Demonstrate a track record of building tools, systems, applications, plugins, pipelines, or production technology.
- Have strong programming skills in one or more languages such as Python, C#, C++, or TypeScript.
- Have practical understanding of modern AI models, APIs, coding agents, automation, and AI-assisted development.
- Be able to rapidly prototype ideas and independently evaluate their technical and production value.
- Have experience taking R&D from early experimentation through to a production-ready solution.
- Understand real-time production and game-development workflows.
- Have experience with Unity, Unreal Engine, Houdini, Blender, Maya, or comparable environments.
- Be able to work directly with engineers and artists.
- Have strong communication and presentation skills, and be able to teach complex technical concepts simply.
- Be fluent in English.
Responsibilities
- Research and evaluate emerging AI models, coding agents, frameworks, workflows, and development tools.
- Identify practical AI opportunities across game development, art production, engineering, and internal workflows.
- Build prototypes and proof-of-concepts, validate them in production scenarios, and turn successful experiments into production solutions.
- Explore and implement AI-assisted workflows across Unity3D, Unreal Engine, Houdini, Blender, and other production tools.
- Develop AI-powered tools, plugins, integrations, agents, and automation for production environments.
- Work with engineering, technical art, VFX, animation, environment, character, and production teams to identify use cases.
- Establish practical AI standards, document workflows, and run internal workshops and demonstrations.
- Teach team members to build tools, agents, and AI-assisted workflows, and communicate technical concepts clearly.
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