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AI Engineer - Game Development (Production Acceleration & Tooling)

30+ days ago 2026/09/03
Other Business Support Services
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Job description

About UserWise We’re building a high-speed, AI-assisted game production team focused on developing and scaling mobile games globally.
This is not a traditional game team.
We operate with ownership, clarity, and execution speed — leveraging AI-driven workflows to move faster than most studios.
We work across a global team, building production-ready games and scaling them through LiveOps.
Our focus is simple: increase the number of high-quality bets and turn them into scalable products.
Our team is already working across established franchises such as Fruit Ninja and Wordscapes, contributing to both development and growth initiatives.
Why Join You’ll be part of a team applying AI to real production environments — not research, but building systems that directly impact how games are created and scaled.
Market competitive, tax-free USD salaries Private Health Insurance Paid Time Off Performance Bonus Annual Performance Reviews What You’ll Do You will build systems and tools that accelerate game development across design, engineering, art, and QA.
Create AI-assisted workflows and tools that enable faster content creation (levels, assets, systems) directly within Unity Engine.
Automate repetitive processes across production pipelines Work closely with designers, artists, QA, and engineers to improve workflows Integrate AI Capabilities: Connect our development environment with external AI/LLM models and APIs e.
g. Claude Code MCP servers, Cursor Skills, to automate repetitive production pipelines.
Rapidly prototype and deploy solutions that increase team velocity Continuously improve how games are built, tested, and scaled What You Bring Strong engineering background 4+ years of experience in game development Fluency in C# and deep familiarity with Unity Engine Experience working with AI/LLM-based tools or systems You are a builder — you ship tools and solutions, not just ideas You focus on practical impact, not theoretical research You can work across disciplines (design, art, QA, product) You are comfortable moving fast and iterating quickly You take ownership and solve problems end-to-end You care about improving speed, scalability, and efficiency Environment High ownership — you build systems that impact the entire team High speed — rapid iteration and deployment of tools AI-first workflows — real application of AI in production Global team — collaborate across multiple disciplines and regions Low bureaucracy — minimal process, maximum execution
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