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
CWILL AI Chat is growing from a live chat and AI chatbot into an AI customer service and sales conversion tool for Shopify merchants, with more AI capabilities, deeper Shopify data integration, an agent workspace, merchant settings, reporting and system reliability on the way.
As an R&D Trainee, you'll learn by building real features with a mentor, and grow into an engineer who owns a module independently.
(We are unable to hire in other states; relocation will be required.)
Hybrid remote working setting
What You'll Do
Build AI Chat Features
With guidance from your mentor, develop features across live chat, AI customer service, Shopify data, the merchant admin and reporting
Break down requirements into technical tasks, then code, integrate, test and release
Work on API integration between frontend and backend, data processing, business logic and UI improvements
Own the quality of what you ship
Maintain Systems and Troubleshoot
Help resolve production bugs, customer-reported issues and internal test findings
Learn to find root causes using logs, monitoring, databases and debugging tools
Improve stability, performance and maintainability; document recurring issues so they do not happen again
Build AI and Shopify Capabilities
Develop AI customer service features such as the knowledge base, product Q&A, order lookup, human handoff and conversation summaries
Integrate and improve Shopify product, order, customer and shipping data
Help validate how AI features perform in real merchant scenarios
Collaborate and Deliver
Work with product, design, QA, operations and customer success to understand the why behind each feature
Follow team coding standards, take part in code review, and add documentation and tests
Share progress, risks and blockers proactively, and join retrospectives after each launch
Your Growth Path
By 3 months: understand the architecture and main modules; complete small features and bug fixes with your mentor
By 6 months: independently own small features or sub-modules from coding to release, and diagnose common production issues
By 12 months: own a product module or technical area at the level of a junior engineer
Requirements
Requirements
Proficiency in Go (Golang) is required. Experience with other languages such as JavaScript/TypeScript, Python or Java is a plus
Bachelor's or master's degree from a US university, graduating recently or within the last 1–2 years. Any major; Computer Science, Information Systems, Engineering or related fields preferred
Solid understanding of web development fundamentals: HTTP, APIs, databases and frontend–backend interaction
Good coding and debugging skills: you can get to the bottom of a problem and fix it completely
Strong learner who reads documentation, digs into problems and grows quickly on real projects
Reliable and detail-oriented; you keep the team updated on progress and issues
Professional working proficiency in Mandarin Chinese and English (you will work daily with our engineering team in China)
Software development or SaaS internship experience preferred
Nice to Have
Experience building web apps, SaaS, AI apps, browser extensions, online stores or mini-programs
Familiarity with one or more of: React, Node.js, Next.js, NestJS, Python, PostgreSQL, Redis
AI projects such as LLM apps, prompting, RAG, agents, knowledge bases or chatbots
Knowledge of Shopify, cross-border e-commerce, customer service systems, CRM or marketing tools
GitHub projects, internships, open-source contributions or personal work you can show
Benefits
Starting Pay: 80k - 110k depends on experiences, open to negotiation
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