Lead AI Engineer, Game Generation

WhyHireWrong?; Greater London; On-site; GBP 100,000 - 140,000; Full time

Job summary

WhyHireWrong? in London is seeking a senior engineer to own the end-to-end AI game generation pipeline, from prompt to running browser game. You will build automated validation and repair loops for AI-generated assets and code, and reduce generation costs via model routing, caching, and distillation.

You will also integrate AI pipelines with web runtimes like Three.js, Phaser, Babylon, and WebGL, and lead a small team of engineers to deliver production-grade outputs in browser environments.

Qualifications

• Shipped text-to-game or prompt-to-running-app at scale.
• Experience owning a full AI generation loop (generation, validation, repair, evaluation).

Responsibilities

• Own the end-to-end game generation pipeline from prompt to running browser game.
• Build and maintain automated validation and repair loops for AI-generated code and assets.
• Reduce cost per generation through tiered model routing, caching, distillation, and other LLM optimizations.
• Integrate AI generation pipelines directly with web game runtimes (Three.js, Phaser, Babylon, WebGL).
• Work with procedural content generation systems for game mechanics and assets.
• Lead a small team of 2-3 engineers on the AI generation stack.
• Ship production code that compiles and runs complex AI-generated outputs in browser game environments.

Skills

AI generation pipelines

Leadership

Team coordination

Tools

Three.js

Phaser

Babylon.js

WebGL

Job description

About The Role

This role takes technical ownership of the core product: the end-to-end game generation pipeline. The person in this role will scale the system to drive up the playability pass rate while driving down the cost per generation at volume. Work spans the full AI generation loop: generation, validation, repair, and evaluation.

Responsibilities

• Own the end-to-end game generation pipeline from prompt to running browser game
• Build and maintain automated validation and repair loops for AI-generated code and assets
• Reduce cost per generation through tiered model routing, caching, distillation, and other LLM economics optimizations
• Integrate AI generation pipelines directly with web game runtimes (Three.js, Phaser, Babylon, WebGL)
• Work with procedural content generation systems for game mechanics and assets
• Lead a small team of 2-3 engineers on the AI generation stack
• Ship production code that compiles and runs complex AI-generated outputs in browser game environments

Requirements

• Shipped text-to-game, AI game-creation tech, or a prompt-to-running-app agent at scale
• Experience owning a full AI generation loop (generation, validation, repair, evaluation)