AI Application Developer / AI 應用開發工程師 (Full-Stack & Engineering Focus)
Full-stack AI application developer in Hong Kong who independently takes 0-to-1 AI SaaS products (e.g., RAG knowledge bases, agent tools) from backend logic and prompt engineering to frontend UI, cloud deployment, and on-call ownership. Core stack centers on Python, LLM application development, databases, and cloud infrastructure, with AI coding assistants (Cursor/Copilot) encouraged.
- Compensation
- Not disclosed
- Location
- Hong Kong, Hong Kong
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Fullstack
- Posted
Skills
Must have
- 2+ years of experience as a technical lead for core systems throughout their full lifecycle
- Track record independently driving architecture design, deployment, on-call monitoring, and incident resolution
- Proficient in at least one mainstream backend language (e.g., Python) with strong ability to read unfamiliar codebases
- Deep code review and refactoring expertise: spot logic errors, security vulnerabilities, and maintainability risks
- Solid database skills: schema design, index optimization, data migration planning
- Able to design authorization and data isolation models (e.g., RBAC/ABAC)
- Substantial code review and technical leadership/mentorship experience
Nice to have
- Practical experience developing LLM applications (RAG, Agents) plus system Eval and output quality measurement
- Hands-on experience with AWS / GCP / Azure
- Proficient in Docker / Kubernetes or familiar with Terraform / Pulumi (IaC)
- Familiar with OWASP Top 10, threat modeling, and secure code reviews
- Experience with architecture and performance tuning for high-concurrency, high-traffic systems
- Track record building complex system architectures from scratch or assembling a technical team
Full description
Job Title: AI Application Developer (Full-Stack & Engineering Focus)
Job Highlights
Enjoy extreme technical autonomy and core decision-making authority.
Base salary + lucrative project profit-sharing; AI-assisted coding strongly encouraged.
About the Role
This position seeks a core engineering expert with exceptional end-to-end delivery capabilities to spearhead the engineering and commercial deployment of cutting-edge AI technologies. We empower our core developers with absolute technical autonomy and a highly competitive incentive structure (base salary + project profit-sharing). We champion an agile development culture and strongly encourage the deep integration of AI coding assistants to achieve maximum efficiency in building 0-to-1 SaaS architectures.
Key Responsibilities
- 0-to-1 MVP Development: Independently lead the end-to-end development of novel AI applications (e.g., RAG-based knowledge bases or multi-step Agent tools), handling everything from backend logic to frontend UI prototyping and rapid iteration.
- Core Architecture & AI Optimization: Possess absolute technical authority, independently driving core business logic design, Prompt Engineering, model fine-tuning, and resolving technical bottlenecks.
- System Engineering & Deployment: Transform AI applications into robust SaaS products. Take charge of system architecture design, database construction, API encapsulation, and cloud deployment to ensure high-quality project delivery.
- AI-Empowered Coding: Masterfully utilize AI coding assistants (e.g., Cursor/Copilot) to rapidly generate business code. Demonstrate exceptional code review and logic optimization skills to ensure the security and stability of the AI system.
Requirements
Must-Haves
- End-to-end Production System Ownership: 2+ years of experience as a technical lead for core systems throughout their full lifecycle. Proven track record of independently driving architecture design, deployment, on-call monitoring, and incident resolution.
- Deep Code Review & Refactoring Expertise: Proficient in at least one mainstream backend language (e.g., Python) with exceptional ability to read across unfamiliar codebases. Able to pinpoint logical correctness, security vulnerabilities, and maintainability risks—going far beyond mere code style corrections.
- Database & Complex Authorization Architecture: Solid foundational judgment in designing robust schemas, optimizing indexes, and formulating smooth data migration plans. Able to precisely define and implement "who can access what" authorization and data isolation models (e.g., RBAC/ABAC).