AI Full Stack Developer (LLM & RAG, over $40K)

• Design and develop small-to-medium scaled LLM, ML, RAG, and CV systems (non-analytics scripting).
• Maintain and patch both front-end and back-end components of these systems as a full-stack developer.
• Collaborate with teams to integrate AI models into existing applications.
• Implement data validation and reconciliation processes to ensure data quality.
• Develop documentation for system design and integration processes.
• Support AI model testing for seamless integration into applications.
• Optimize user experience for dashboards, workflows, and data presentation.
• Work with data engineers to design storage and retrieval systems for AI training/testing.
• Assist procurement and provide on-job training for equipment/services.
• Communicate system designs effectively to stakeholders.
• Stay updated on emerging technologies in AI and ML.
• Act as business analyst for projects when required.
• Manage vendors for outsourced development.
• Ensure project delivery meets deadlines and quality standards.

Job Requirements:

• Degree or Higher Diploma in Computer Science or related disciplines.
• Minimum 3 years’ experience in IT application development, with at least 1 year in a similar role.
• Hands-on experience with container deployment (Docker).
• Proficiency in MEAN Stack and data integration systems (e.g., message queues, data cleansing).
• Understanding of data mining, BI, and ML applications.
• Strong knowledge of system design and database design.
• Familiarity with Agile/DevOps methodologies.
• Experience with LLM and RAG technologies.
• Hands-on experience with SQL databases (MySQL, PostgreSQL) and NoSQL/Vector databases.
• Proficiency in Git workflows (minimum 3 years).
• Experience with CI/CD pipelines.
• Strong communication skills in English and Cantonese.

If interested in the above post, please send full resume with academic background, work history, current and expected salary via [email protected]

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