AI SEO R&D Trainee - Full-Stack Engineer (Go Backend) - Bilingual Mandarin

CWILL•Cary, NC

9d•Hybrid

About The Position

CWILL is seeking an AI SEO R&D Trainee to join their AI SEO & Image Optimizer team. This product is an AI-powered SEO and site speed solution for cross-border e-commerce and Shopify merchants, aimed at enhancing content quality, indexing, keyword coverage, and organic traffic. The trainee will learn by building real features under the guidance of a mentor, with the goal of becoming an engineer capable of independently owning a product module. The role involves working on features such as site audits, page checks, keyword analysis, content optimization, AI suggestions, and reporting, as well as API integration, data processing, and UI improvements. The trainee will also be involved in processing SEO data, improving system logic, and developing AI SEO capabilities like title and meta description generation.

Requirements

Proficiency in Go (Golang) is required.
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).

Nice To Haves

Experience with other languages such as JavaScript/TypeScript, Python, Java or PHP is a plus.
Software development or SaaS internship experience preferred.
Experience building web apps, SaaS, SEO tools, AI apps, online stores or Shopify apps.
Familiarity with one or more of: PHP, React, Node.js, Next.js, NestJS, Python, PostgreSQL, Redis.
Basic SEO knowledge: keywords, titles, meta descriptions, site structure, indexing and organic traffic.
AI projects such as LLM apps, prompting, RAG, content generation or automated analysis.
Experience with data collection, data cleaning, reporting or web crawlers.

Responsibilities

Build AI SEO Features with guidance from a mentor, developing features across site audits, page checks, keyword analysis, content optimization, AI suggestions 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.
Process SEO Data and Improve the System by working with page, keyword, meta tag, site structure and indexing data.
Build SEO check rules, scoring logic, optimization suggestions and report metrics.
Help troubleshoot production bugs, data issues and customer-reported problems.
Build AI SEO Capabilities by developing AI generation of titles, meta descriptions, content suggestions and keyword suggestions.
Improve AI output quality, generation speed, user experience and error handling.
Work on prompts, rules, templates and output evaluation.
Collaborate 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.