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Fullstack Developer (AI)

Combuilder Pte Ltd

3.7
9 reviews
Combuilder Pte Ltd
Job Type   /   Job Level
Full-time   /   Others/Any
Job Location
Singapore, Singapore
Salary Range
SGD 5,500 - SGD 8,500 (Monthly)
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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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