Application Prototyping: Use advanced generative development environments to transform natural language requirements into functional internal tools, customer portals, and property management dashboards.
Agentic Workflow Design: Orchestrate autonomous coding agents to handle software architecture—from database schema design and backend logic to frontend interface styling.
Strategic Oversight: Act as the "Human-in-the-Loop," auditing machine-generated code for security, logic.
Technical Documentation & Lineage: Maintain comprehensive records of prompt chains and logic flows used to generate applications.
Create clear system architecture maps and API documentation for all AI-generated features.
Ensure all automated workflows are documented for future maintenance, focusing on "Why" a feature exists as much as "How" it works.
Requirements
Education: Pursuing a degree in Computer Science, Information Systems, or a related technical field. We prioritize candidates who understand software logic and system architecture over syntax memorization.
AI-Native Mindset: * Mastery of prompt engineering and the ability to guide large-scale models through complex multi-step reasoning.
Experience with natural-language-to-code platforms and browser-based development environments.
Ability to read, debug, and optimize code across multiple languages (e.g., Python, JavaScript) generated by autonomous tools.
Critical Thinking: Strong skills in task decomposition—the ability to break a business problem into technical instructions that a machine can execute.
Languages: Good command of written and spoken English and Chinese.