Lead AI Engineer, Game Generation — Text-to-Game Pipeline

TechTree

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+
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Job summary

TechTree is assisting a client in London to hire a Lead AI Engineer, Game Generation. This role is remote until Oct 2026, after which relocation to London is required.

You will own the end-to-end text-to-game pipeline—from prompt extraction to running, playable output, at scale. You will drive cost and performance improvements, run benchmark suites, and implement routing, caching and distillation to reduce inference costs.

Qualifications

  • Shipping text-to-game or prompt-to-running-app tech at scale.
  • Own the generation → validation → repair → eval loop with real pass-rate and cost numbers.
  • Strong runtime engineering skills in WebGL-based libraries (Three.js, Phaser, Babylon).

Responsibilities

  • Own the full pipeline — intent extraction, model routing, generation, validation, repair, runtime.
  • Move playability pass rate up and cost per generation down, at volume.
  • Run benchmark suites and LLM-as-judge evals, and cut inference cost through routing, caching and distillation.

Skills

Three.js
Phaser
Babylon
Procedural generation

Tools

Three.js
Phaser
Babylon

Job description

This is a role that TechTree is recruiting for on behalf of one of our clients.


TechTree is an AI-driven recruitment platform working with high-growth companies.


When you apply, our AI Agent matches you not just to this role, but to other relevant opportunities across our network, so one application can unlock multiple roles.


Lead AI Engineer, Game Generation — own a text-to-game pipeline running millions of generations. London (remote until Oct 2026, then relocation).


Our client runs a mobile feed made entirely of AI-generated browser games created from a prompt. The generation pipeline is the product.


This is the technical owner role for that pipeline — from prompt to running, playable game, at scale and at a cost that works.


What You'll Do


  • Own the full pipeline — intent extraction, model routing, generation, validation, repair, runtime

  • Move playability pass rate up and cost per generation down, at volume

  • Run benchmark suites and LLM-as-judge evals, and cut inference cost through routing, caching and distillation


What We're Looking For


  • Have shipped text-to-game or prompt-to-running-app tech at scale (Rosebud, Replit Agent, Bolt, v0 calibre)

  • Own the generation → validation → repair → eval loop, with real pass-rate and cost numbers

  • Strong enough engineer to live in the runtime — Three.js, Phaser, Babylon, procedural generation


Comp is open — top of market for the right person.


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