Design and develop a complete full-stack application that supports the front-end and back-end functions of the AI character recognition platform, and implement a highly efficient and highly available system architecture.
Integrate retrieval-enhanced generation (RAG) with large language models (LLM), optimize user learning experience, and enhance content generation accuracy and relevance.
Responsible for deploying, monitoring and maintaining application programs, ensuring system stability, scalability and security.
Closely cooperate with AI research team, effectively integrate the AI model trained and completed into the product, and perform performance optimization and efficiency tracking in actual scene.
Continuously improve user interface design and backend business logic, enhance the interactivity, fluency and overall usability of learning applications.
Participate in technical documentation writing and code review, ensure the standardization of the development process and team collaboration efficiency.
Work requirements
Enroll/Graduate in Computer Science, Software Engineering or related professional bachelor's degree or above.
Familiar with full-stack development technology, front-end familiar with JavaScript and mainstream frameworks such as React.js or Vue.js; back-end familiar with Node.js, Python and their Web frameworks such as Django or Flask.
Have practical deployment experience with RAG and LLM technologies, understand their working principles, and be able to tune parameters and optimize based on application scenarios.
Familiar with cloud service platforms (such as AWS, Google Cloud Platform or Azure), with practical experience in CI/CD, containerized deployment (such as Docker), microservices architecture and monitoring tools.
Passionate about the EdTech field, able to design product features that align with learning behaviors from a user's perspective.
Have good communication skills and team spirit, be able to effectively cooperate in cross-functional teams and push projects to completion.
Languages
English
Cantonese
Mandarin
Skills
Agile Methodology
Information Technology Management
Software Engineering
Tommy Liu
Companion learning · HR Director
Job Location
香港中文大學-Ma Liu Shui, Sha Tin
馬料水
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