Full Stack Developer (AI, Docker, Linux)

Job Description:

• Design, develop, and test small-to-medium scaled LLM, ML, RAG and CV related systems (non-analytics scripting part) to meet business requirements;

• Maintain and patch front-end and back-end of the simple-to-medium-scaled LLM, ML, RAG and CV systems as a full-stack developer, with emphasis on the non-analytics scripting part of the system ONLY;

• Collaborate with cross-functional teams to integrate AI models into existing systems and applications;

• Design and implement data validation and reconciliation processes to ensure data quality and accuracy;

• Develop and maintain documentation for the system and integration processes;

• Support ongoing development and testing of AI models to ensure seamless integration into the developed systems;

• Evaluate and optimize user experience for effective presentation and operation of the system functions including, but not limited to, dashboards, forms, workflows, and tabulated data;

• Collaborate with data engineers to design and implement data storage and retrieval systems that support AI model training and testing processes; I.Assist and on-job training of procuring process for equipment and services required;

• Communicate and present the system developed for effective team communication;

• Embrace the chance to stay up-to-date and on-job training of emerging technologies and trends in data analytics, machine learning, and artificial intelligence;

• Assist as a business analyst of projects;

• Collaborate and manage vendors and/or contractors for out-source development of innovative applications; and

• Ensure project deliverables to be on time and meet quality standard.
  
  

Requirement Details:

• Degree or higher diploma in computer subjects or related disciplines

• 3 years or above hands-on experience in IT application development of which 1 years must be in similar post and in comparable capacity

• Adequate knowledge and experience in application systems using container deployment, such as Docker

• Adequate knowledge and experience in application development using MEAN Stack and data integration systems, including, but not limited to, message queue and data cleansing services

• Adequate understanding and, preferably, experience in data mining, business intelligence and machine learning applications and development

• Strong commitment to project deadline and delivering high quality work

• Creative, analytical, self-initiative, responsible and well-organized

• Good knowledge and experience in system design and database design; ix.Familiarity with Agile or DevOps methodologies

• Familiarity with LLM and RAG technologies

• At least 1-year hands-on experience on any type of SQL database (eg. MySQL, PostgreSQL, etc.)

• At least 1-year hands-on experience on NoSQL database or Vector Database

• At least 3-year hands-on experience on Git commands and workflow

• At least 1-year hands-on experience on CICD pipelines

• Good communication skills in English and Cantonese

• Good interpersonal relationship and emotion management