Game Developer – AI Simulation Frameworks
About the Role
Description:
A high-impact development initiative is focused on building interactive simulation environments to support next-generation AI systems. This role sits at the intersection of game development and artificial intelligence, leveraging established frameworks to create structured, high-performance training scenarios.
This opportunity is ideal for individuals with strong experience in game frameworks who are interested in applying their skills to AI-driven systems. Candidates should be comfortable working in distributed teams and capable of translating complex requirements into scalable solutions.
The work involves designing and optimizing simulation environments, collaborating closely with AI-focused contributors, and ensuring systems are robust, reusable, and performance-efficient—where code quality and architectural clarity are critical to success.
What You'll Do
- Design and implement game scenarios using frameworks such as MonoGame, libGDX, or Cocos2d-x
- Develop scalable and reusable components aligned with simulation and AI training needs
- Collaborate with technical stakeholders to refine environments for AI agent interaction
- Debug and optimize performance across existing and new codebases
- Translate functional requirements into efficient system architectures
- Document technical designs, workflows, and implementation details
- Participate in code reviews and enforce framework-specific best practices
- Communicate progress, blockers, and technical insights clearly in a remote setting
Requirements
- Demonstrated experience developing games using MonoGame, libGDX, or Cocos2d-x
- Strong programming skills in C#, C++, and Java
- Understanding of game architecture, optimization, and cross-platform development
- Ability to work effectively in remote, distributed teams
- Strong debugging skills across complex systems
- Clear written and verbal communication skills
- Experience maintaining clean, efficient, and well-documented code
- Interest in applying game development techniques to AI or simulation environments
- Familiarity with AI concepts such as reinforcement learning (preferred)
- Experience contributing to open-source or game development communities (preferred)