AI Product Engineer, Games - Puzzle Cats

We believe AI will fundamentally change how games are built and played, from content creation to player experience, and we’re building at the frontier of that shift.

Puzzle Cats builds casual mobile games played by tens of millions of people worldwide. We’re a small, high-performing team that moves faster than most studios think is possible, taking games from concept to App Store quickly and continuously iterating on live games with millions of active players.

We’re looking for an AI Product Engineer who wants to build something big and move fast. This is a hands-on, highly product-oriented role for someone who wants to invent, ship, and scale AI-native game experiences. You’ll work across the full development process, from prototype to production, collaborating with designers, engineers, and product teams to launch new games and improve live ones. Features you build can reach millions of players within weeks.

We’re especially interested in engineers who don’t just tolerate AI tools, they live inside them. Someone who naturally uses tools like Claude, Cursor, OpenAI, or coding agents as part of how they build, understands the code they generate, and knows when to prompt a solution versus writing it from scratch.

You’ll own features end-to-end, from gameplay systems and backend infrastructure to analytics, building, shipping, measuring, and iterating quickly based on real player data. We ship fast, test aggressively, and aren’t afraid to kill ideas — including AI ones — if the data doesn’t support them.

What You’ll Do

• Use AI to create new player experiences that wouldn’t be possible otherwise
• Build and ship mobile game features in Unity (C#) for iOS and Android, including gameplay mechanics, onboarding flows, monetization experiments, and live-ops systems
• Prototype and launch new game ideas quickly, moving from concept to playable builds in weeks, not months
• Design and build AI-powered gameplay and product features, including content generation, personalization, and AI-driven mechanics
• Design and implement AI systems and pipelines, including RAG, embeddings, tool use, and agents
• Optimize AI systems for cost, latency, and scalability, including token usage, caching, and model selection
• Develop and maintain backend systems for live games, including leaderboards, events, A/B testing infrastructure, and cloud services (GCP/Firebase)
• Collaborate closely with designers and analysts to interpret player data and turn insights into gameplay improvements
• Own the full lifecycle of your features, including implementation, analytics instrumentation, debugging, and performance optimization
• Review code and maintain high engineering standards, including AI-generated code

Must-Haves

• Strong problem-solving ability, a hacker mindset, and deep object-oriented programming knowledge
• Ability