Software Engineer contributing to high - performance onboard algorithms for autonomous driving at Waabi. Collaborating with scientists and engineers to optimize real - time processing of sensor data.
About the role
- AI Product Engineer developing AI-native game experiences for a mobile games studio. Collaborating across the full development process to create engaging player experiences.
Responsibilities
- 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
Requirements
- 3+ years of production software engineering experience, ideally with shipped mobile apps or games built in Unity (C#) for iOS and Android
- Strong problem-solving ability, a hacker mindset, and deep object-oriented programming knowledge
- Ability to write clean, maintainable code and move quickly without sacrificing quality
- Experience integrating real AI features into products, not just using AI tools, but shipping or meaningfully prototyping model-driven functionality
- Experience integrating LLMs into production systems using OpenAI, Anthropic, or open-source models
- Strong intuition for how LLMs behave, including prompt design, failure modes, and output quality
- Experience building and iterating on AI features using real user data
- Experience with Python or JavaScript, cloud infrastructure/back-end systems, and Git
- Comfort working in ambiguity and figuring things out without playbooks
- Strong critical thinking, communication skills, and empathy for players
- Nice to Have: Experience applying AI to gameplay systems, including procedural content generation or LLM-driven systems such as personalization, dialogue, level generation, or dynamic difficulty
- Experience designing AI pipelines such as RAG, embeddings/vector search, and tool use/function calling
- Experience fine-tuning or working with open-source models
- Game design sensibility and a strong feel for what makes mechanics engaging
- Experience with Python scripting for tooling, automation, or data pipelines
- Experience optimizing Unity mobile performance, including memory profiling, draw call optimization, and frame-rate debugging
- Experience shipping multiple mobile game titles.
Benefits
- Health insurance
- Professional development opportunities
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