Pop-Up & Email Marketing R&D Trainee - Full-Stack Engineer - Bilingual Mandarin

CWILL•Cary, NC

9d•Hybrid

About The Position

CWILL (pronounced 'quill') is a post-purchase and retention suite built for Shopify brands. Reduce support tickets, recover lost revenue from returns, and turn one-time buyers into loyal fans — with tools purpose-built for every touchpoint that follows the sale. We're building a new generation of AI-native full-stack engineers. As AI changes how software is built, we want engineers who can take a feature from idea to release, across frontend, backend, database and deployment, using AI as part of everyday work. You'll join our CWILL Pop-Up & Email Marketing team and learn through mentorship and real projects, helping us move toward a steady weekly release cycle.

Requirements

Bachelor's degree or higher; recent graduates welcome. Computer Science, Software Engineering, Artificial Intelligence, Information Management, Mathematics or related majors preferred
No full-time work experience required; internships, coursework, personal or open-source projects are a plus
Solid computer science fundamentals: data structures, networking, databases, operating systems and software engineering
At least one backend language, such as Java, Python, Go or Node.js, with basic coding ability
Frontend basics (HTML, CSS, JavaScript) and familiarity with a common framework such as Vue or React
Database basics such as MySQL and Redis: able to design simple tables and write SQL
Familiarity with API development, frontend–backend integration, Git, Linux and deployment workflows
Familiar with, or eager to master, AI coding tools such as ChatGPT, Claude, Cursor or Copilot, and able to understand, verify and improve AI-generated code rather than shipping it blindly
Professional working proficiency in Mandarin Chinese and English (you will work daily with our engineering team in China)

Nice To Haves

Projects such as web systems, admin dashboards, mini-programs, AI tools, automation scripts or data processing
Strong interest in AI-assisted development, full-stack engineering and building business systems
Curious and hands-on; you explore, learn and solve problems on your own initiative

Responsibilities

Develop business systems, internal tools, data tools and AI applications; with your mentor, gradually take on the full cycle: frontend, backend, database, API integration, testing and deployment
Learn and use our standard AI development workflow: use AI tools for breaking down requirements, generating code, debugging, writing test cases, documentation and building productivity tools
Build small feature modules end to end, including pages, APIs, database tables, admin settings, permissions, data processing and basic deployment
Work with product and business teams to understand requirements, join solution discussions, break down tasks, integrate and test, verify releases and run retrospectives
Take part in code review and technical retrospectives to keep raising code quality, engineering standards, testing discipline and reliability
Capture reusable knowledge such as components, scripts, AI prompts, runbooks and project notes