Fullstack Developer (AI)

Combuilder Pte Ltd

Hong Kong

On-site

HKD 240,000 - 420,000

Full time

10 days ago
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Job summary

Combuilder Pte Ltd in Hong Kong is seeking a Full Stack Developer with foundational to intermediate AI/ML knowledge to build intelligent, scalable software with AI features. You will collaborate across teams on projects using Waterfall or Agile methodologies, depending on client needs.

The role emphasizes hands-on coding in frontend and backend, integrating AI models, building RESTful APIs, and delivering responsive UX while working with data scientists to test and deploy models.

Qualifications

  • Bachelor’s degree in computer science, computer engineering, or related field (or equivalent practical experience).
  • 0–5 years of experience in software or full stack development.
  • Proficiency in at least one frontend framework: Vue.js, React or Angular.
  • Backend development experience with: Java Spring Boot, Node.js, Python (Flask/FastAPI), or similar.
  • Basic understanding of databases: SQL (PostgreSQL/MySQL) or NoSQL (MongoDB).
  • Foundational knowledge of AI/ML concepts: Supervised/unsupervised learning, Model inference vs training.
  • Exposure to AI tools/frameworks (academic or project-based experience acceptable): TensorFlow, PyTorch, etc
  • Familiarity with GitLab, Kubernetes, Jira.

Responsibilities

  • Develop and maintain full stack web applications (frontend and backend)
  • Integrate pre-built or internally developed AI/ML models into applications
  • Build and consume RESTful APIs and backend services
  • Support AI feature development such as chatbots, recommendation systems, or automation testing tools
  • Work with data scientists to test and deploy machine learning models
  • Create responsive UI components and improve user experience
  • Perform debugging, testing, and code optimization

Skills

AI/ML concepts (basic to intermediate)

Education

Bachelor’s degree in computer science, computer engineering, or related field (or equivalent practical experience)

Tools

Vue.js
React
Angular
Java Spring Boot
Node.js
Python (Flask/FastAPI)
PostgreSQL/MySQL
MongoDB
TensorFlow
PyTorch
GitLab
Kubernetes
Jira

Job description

We are looking for a Full Stack Developer withfoundational to intermediate AI/ML knowledge to help build intelligent,scalable software applications with AI features. This role is ideal forcandidates who are strong in software engineering and have hands-on exposureor growing interest in AI technologies.

You will collaborate with software teams in projects delivered using either Waterfall or Agile methodologies, depending on business/client requirements

Key Responsibilities
  • Develop and maintain full stack web applications (frontend and backend)
  • Integrate pre-built or internally developed AI/ML models into applications
  • Build and consume RESTful APIs and backend services
  • Support AI feature development such as chatbots, recommendation systems, or automation testing tools
  • Work with data scientists to test and deploy machine learning models
  • Create responsive UI components and improve user experience
  • Perform debugging, testing, and code optimization
Required Skills & Qualifications
  • Bachelor’s degree in computer science, computer engineering, or related field (or equivalent practical experience)
  • 0–5 years of experience in software or full stack development
  • Proficiency in at least one frontend framework: Vue.js, React or Angular
  • Backend development experience with: Java Spring Boot, Node.js, Python (Flask/FastAPI), or similar
  • Basic understanding of databases: SQL (PostgreSQL/MySQL) or NoSQL (MongoDB)
  • Foundational knowledge of AI/ML concepts: Supervised/unsupervised learning, Model inference vs training
  • Exposure to AI tools/frameworks (academic or project-based experience acceptable):
  • TensorFlow, PyTorch, etc
  • Familiarity with GitLab, Kubernetes, Jira
AI/ML Requirements
  • Basic to intermediate knowledge of machine learning concepts
  • Experience (project or professional) with:
  • AI/ML libraries (TensorFlow, PyTorch, Scikit-learn), or
  • AI APIs (OpenAI, Azure AI, AWS AI)
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