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

CWILL
CaryHybridIntern
Apply on CWILL’s site

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Subscribers got this job on 14 October 2026. New jobs reach them at 8 am and 6 pm, 5 days before they open here. Get the next one first

The job in short

Full-stack engineering trainee for marketing R&D, Mandarin bilingual.

PythonJavaJavaScriptReactVueNode.jsSQLMySQLRedisLinuxMarketingNetworking

Details

Found
15 d ago · posted 2026-10-13
Location as listed
cary, North Carolina, United States
Role
Full-Stack Engineer
Source
The company’s own careers site

Full description

About CWILL 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. About the Role 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. Product Intro: https://www.cwill.com/products/pop-up-email-marketing/ Base location required: Cary, NC (We are unable to hire in other states; relocation will be required.) Hybrid remote working setting What You'll Do Engineering Work • 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 Your Growth Path • Months 1–3: learn frontend, backend, databases, APIs, Git, testing, deployment and our AI workflow, and build strong engineering habits • Months 3–6: ship complete small features (a page, an API, a table, an admin setting, a release) with frequent code review • Months 6–12: independently own small and medium features, using AI to plan, break down tasks, integrate, test and release • Months 12–18: grow into an AI-native full-stack engineer with strong business understanding, delivery skills and AI collaboration Requirements 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 Have • 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 Benefits Starting Pay: 80k - 110k depends on experiences, open to negotiation • 401(k) • PTO • Paid Holidays • Insurance

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