AI-Enhanced Unity Action Game
Budget / Salary₹12,500–37,500
TypeFreelance project
LocationRemote
Posted2 hours ago
I’m building an action-adventure title in Unity and need a developer who can weave modern AI capabilities straight into the core gameplay loop. Your day-to-day will revolve around TypeScript and C#, but you’ll also tap Cursor AI, Massy AI, G Develop AI and the Meg.com toolset to automate repetitive logic, streamline content generation and keep the codebase maintainable.
The immediate milestones are focused on two AI-driven pillars:
• Environment interaction – surfaces, props and dynamic obstacles must react to player behaviour with believable cause-and-effect, powered by a lightweight inference layer rather than pre-baked scripts.
• Procedural content generation – from level geometry to loot tables, I want scalable pipelines that can spin up fresh, replayable scenarios while still respecting narrative beats.
Alongside that, expect the usual suite of integration tasks: clean API hooks, performance-minded architecture, debugging passes and automated build checks so we can ship seamlessly to both desktop and console targets.
You’ll fit perfectly if you already ship Unity projects in TypeScript via ts-to-c# transpilation or comparable workflows, have a track record of plugging AI services into gameplay code, and enjoy profiling, refactoring and documenting as you go.
When you deliver:
1. A working Unity scene that showcases AI-driven environment interaction and procedural levels.
2. Clean, well-commented TypeScript/C# source.
3. A short read-me outlining the AI toolchain setup and how to extend it.
If that checklist sounds routine, let’s talk timelines so you can jump straight into the repo.
The immediate milestones are focused on two AI-driven pillars:
• Environment interaction – surfaces, props and dynamic obstacles must react to player behaviour with believable cause-and-effect, powered by a lightweight inference layer rather than pre-baked scripts.
• Procedural content generation – from level geometry to loot tables, I want scalable pipelines that can spin up fresh, replayable scenarios while still respecting narrative beats.
Alongside that, expect the usual suite of integration tasks: clean API hooks, performance-minded architecture, debugging passes and automated build checks so we can ship seamlessly to both desktop and console targets.
You’ll fit perfectly if you already ship Unity projects in TypeScript via ts-to-c# transpilation or comparable workflows, have a track record of plugging AI services into gameplay code, and enjoy profiling, refactoring and documenting as you go.
When you deliver:
1. A working Unity scene that showcases AI-driven environment interaction and procedural levels.
2. Clean, well-commented TypeScript/C# source.
3. A short read-me outlining the AI toolchain setup and how to extend it.
If that checklist sounds routine, let’s talk timelines so you can jump straight into the repo.
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