Full Stack & AI Development Engineer (Web/App/Algorithm Track)
Summary
Build and optimize full-stack web and mobile platforms alongside AI-driven features like recommendations and chat interfaces using React/Next.js, Node.js, and LLM tools.
Role Description
As a Full Stack & AI Development Engineer, you will join our dynamic R&D team to design, build, test, and optimize our core web/app platforms and proprietary AI algorithms. The role spans web & app front-end, high-performance backend logic, and AI-driven recommendation/routing modules, depending on your skill focus. You will be instrumental in turning our innovative patents into scalable, real-world consumer products.
Key Responsibilities
- Platform Development: Spearhead the building, upgrading, and maintaining of the company's multi-domain portals and cross-platform WebApps.
- UI/UX Implementation: Collaborate closely with the design team to convert wireframes into responsive, high-performance, and pixel-perfect interactive pages.
- AI & Feature Integration: Implement interactive features for user onboarding, multi-turn dialogue interfaces, and automated service dispatching.
- Algorithm R&D (If applicable): Support core algorithm research, optimization, and integration, including task profiling, intelligent service matching, and digital personalization models.
- Engineering Excellence: Participate in team sprints, rigorous software performance testing, debugging, and Git-based version control to ensure system reliability and low latency.
Qualifications & Requirements
Core Technical Skills
- Front-end Mastery: Proficiency in modern front-end frameworks, with a strong preference for Next.js or React.js (to support SEO/GEO rendering).
- Backend & API Design: Solid understanding of backend logic and RESTful API development using Node.js (NestJS/Express) or Python (FastAPI/Flask).
- Database Management: Familiarity with database design and query optimization (e.g., PostgreSQL, MySQL, or MongoDB).
AI & Bonus Capabilities (Highly Valued)
- AI/LLM Stack: Hands-on experience or deep interest in AI/NLP/LLM tools (e.g., LangChain, OpenAI API, LlamaIndex, or Vector Databases).
- Algorithm Background: Knowledge of Machine Learning frameworks and data analysis is a strong asset.
Education & Soft Skills
- Education: Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
- Mindset: Strong problem-solving skills, analytical thinking, and the adaptability required to thrive in a fast-paced, agile startup environment.
- Language: Proficiency in English and Mandarin, with Cantonese being a valuable asset for cross-border collaboration.