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

CWILL•Cary, NC

5h•$80,000 - $110,000•Hybrid

About The Position

We are seeking AI-native full-stack engineers who can manage a feature from conception to release across frontend, backend, database, and deployment, integrating AI into their daily workflow. This role is within the CWILL Pop-Up & Email Marketing team, offering mentorship and real project experience to contribute to a steady weekly release cycle. The position requires relocation to Cary, NC, and offers a hybrid remote working setting.

Requirements

Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, Information Management, Mathematics, or a related major. Recent graduates are welcome.
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.
Proficiency in at least one backend language (e.g., Java, Python, Go, Node.js) with basic coding ability.
Frontend basics (HTML, CSS, JavaScript) and familiarity with a common framework (e.g., Vue, React).
Database basics (e.g., MySQL, Redis), including the ability to design simple tables and write SQL.
Familiarity with API development, frontend-backend integration, Git, Linux, and deployment workflows.
Familiarity with, or eagerness to master, AI coding tools (e.g., ChatGPT, Claude, Cursor, Copilot) and the ability to understand, verify, and improve AI-generated code.
Professional working proficiency in Mandarin Chinese and English.

Nice To Haves

Experience with 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 approach to exploring, learning, and solving problems independently.

Responsibilities

Develop business systems, internal tools, data tools, and AI applications.
Learn and utilize the standard AI development workflow for requirement breakdown, code generation, debugging, test case writing, documentation, and productivity tool building.
Build small feature modules end-to-end, including pages, APIs, database tables, admin settings, permissions, data processing, and basic deployment.
Collaborate with product and business teams to understand requirements, participate in solution discussions, break down tasks, integrate and test, verify releases, and conduct retrospectives.
Participate in code reviews and technical retrospectives to improve code quality, engineering standards, testing discipline, and reliability.
Capture and document reusable knowledge such as components, scripts, AI prompts, runbooks, and project notes.