Full-Stack AI/ML Engineer: Build Smart Apps

TESCOM (SINGAPORE) SOFTWARE SYSTEMS TESTING PTE LTD.

Singapore

On-site

SGD 70,000 - 110,000

Full time

13 days ago
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Job summary

TESCOM (SINGAPORE) SOFTWARE SYSTEMS TESTING PTE LTD. seeks a talented engineer blending software development with applied AI.

You will design full stack apps, implement AI-powered features, and collaborate with data scientists and product owners to deliver integrated solutions. Responsibilities include deploying in cloud or on-prem environments, participating in both Agile and Waterfall workflows, and writing clean, maintainable code in a fast-growing team.

Qualifications

  • Degree in Computer Science, Software Engineering, or related discipline.
  • 2–5 years of experience in full stack development.
  • Strong frontend development skills: JavaScript/TypeScript, React/Angular/Vue.js.
  • Backend development: Node.js, Python, or Java.
  • Experience with relational or NoSQL databases and REST/JSON.
  • Understanding of API design and integration.

Responsibilities

  • Design and build scalable full stack applications from frontend to backend.
  • Develop and integrate AI-powered features (conversational interfaces, intelligent search or recommendations).
  • Work with APIs and microservices to connect AI services with workflows.
  • Collaborate with data scientists and product owners across agile or waterfall processes.
  • Deploy and monitor applications in cloud or on-prem environments.
  • Write clean, maintainable, well-documented code.

Skills

Full stack development
Frontend development
Backend development
AI/ML concepts
Cloud familiarity

Education

Bachelor's degree in Computer Science or related

Tools

React
Angular
Vue.js
Node.js
Python (FastAPI/Flask)
Java (Spring Boot)
PostgreSQL
MySQL
MongoDB
REST/JSON
Docker
Kubernetes

Job description

TESCOM (SINGAPORE) SOFTWARE SYSTEMS TESTING PTE LTD. seeks a talented engineer blending software development with applied AI.

You will design full stack apps, implement AI-powered features, and collaborate with data scientists and product owners to deliver integrated solutions. Responsibilities include deploying in cloud or on-prem environments, participating in both Agile and Waterfall workflows, and writing clean, maintainable code in a fast-growing team.

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