Full Stack Developer (AI/ML – Junior to MidLevel)

Mindteck • Artificial Intelligence • Embedded Software & RTOS • Python • JavaScript • Java • TypeScript • SQL • Node JS • 28 days ago
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Salary
$38k – $58k per year (gross)
Location
In office (Singapore)
Seniority
Junior
Employment
Contractor

First seen by Alion on Sep 2, 2026.

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Mindteck

Mindteck delivers IT services and product engineering across AI, IoT, and embedded systems, helping global enterprises drive digital transformation.
mindteck.com • Singapore • UTC+08:00 • Embedded Software & RTOS • IT Consulting & Digital Transformation • Est. 1991
Tech stack of Mindteck

Singaporean Only

Job Title: Full Stack Developer (AI/ML –Junior to Mid-Level)

Summary

We are looking for a Full StackDeveloper with foundational to intermediate AI/ML knowledge to help buildintelligent, scalable software applications with AI features. This role isideal for candidates who are strong in software engineering and have hands-onexposure or growing interest in AI technologies.

You will collaborate with software teams inprojects delivered using either Waterfall or Agile methodologies, depending on business/clientrequirements

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

Skills

Machine Learning, Ai, TypeScript, Artificial Intelligence, Full Stack Development, Front-end Development, Vue.js, AI Models, Angular (Web Framework), Python, Java, Backend Development, React.js, Software Development

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