Full Stack & AI Development Engineer (Web/App/Algorithm Track)

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.
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