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# Software Engineer, Full Stack

- **Company:** Crazy Maple Studio
- **Location:** Sunnyvale, CA, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Flutter, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, App Store (IOS), Databases, Web Development, Mobile Application Software, Python (Programming Language), PostgreSQL, Open Source Technology, OpenAI, Next.js, TypeScript, ReactJS, Large Language Models, Prompt Engineering, AI Coding Agents, Backend, Agentic-AI, React Native, Google Play, Api Design, Google Gemini
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a0d3871ad7cc7d5d

## About the Role

* Around 2-5 years of experience building and shipping software
 * Shipped at least one mobile app to the App Store or Google Play using React Native or Flutter (native iOS/Android experience also welcome)
 * Comfortable on the backend too: building APIs in TypeScript, Python, or a similar language, working with databases like PostgreSQL, and deploying to AWS or GCP
 * Daily user of AI coding tools, with the drive to go much deeper
 * Fast learner who moves quickly and doesn't wait for permission
 * Comfort with ambiguity. Nobody hands us a playbook, so we write our own
 * Self-directed, low ego, and willing to do the unglamorous work a zero-to-one product needs
 * Hands-on experience with LLM APIs, prompt design, or agent frameworks a plus
 * Web frontend experience (React / Next.js or similar) a plus
 * Experience with in-app purchases, subscriptions, or mobile growth and analytics a plus
 * Background in consumer products, video, interactive content, or games a plus
 * Additional language capability (Mandarin) a plus, though not required

## Description

We're looking for builders. We don't want ticket-closers, and you won't need a 40-page spec. We're putting together a small vanguard team, led directly by our executive team, with one mission: find out what AI can really do for entertainment, then ship it., * Build new AI-powered mobile apps end to end: the screens users touch, the APIs behind them, and the data that tells us what's working

 * Turn rough ideas into working prototypes in days, then turn the winners into polished apps on iOS and Android
 * Integrate large language models (OpenAI, Anthropic, Gemini, or open-source) into the product, and figure out where they create magic and where they fall short
 * Track how users respond and use those signals to decide what to build next
 * Expand successful products to the web once the core experience is proven
 * Try new AI tools and research, and share what you learn with the team