AI-Driven Full-Stack Engineer

EPS COMPUTER SYSTEMS PTE LTD

Singapore

On-site

SGD 120,000 - 180,000

Full time

6 days ago
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Job summary

EPS Computer Systems PTE LTD in Singapore seeks a seasoned Full Stack Engineer to design, build, and deliver AI-enhanced software across the full stack. You will work with modern stacks, AI-assisted tools, microservices, and cloud platforms to create scalable, high‑quality applications while focusing on secure coding, performance, and rapid delivery.

You will collaborate with data scientists and architects to take AI capabilities from prototype to production, ensuring robust, maintainable, and

Qualifications

  • Bachelor's or higher in CS or related field.
  • 3–8 years building production web apps as full stack developer.
  • Experience with modern backend and frontend stacks.
  • Strong understanding of API design, microservices, and data stores.
  • Proficiency with Git, Agile, and CI/CD.

Responsibilities

  • Design, develop, test, and deploy full-stack web apps across UI, APIs and data layers.
  • Build microservices and REST/GraphQL APIs with modern stacks.
  • Develop responsive UIs using React, Angular, or Vue.
  • Model data in SQL and NoSQL databases with optimized queries.
  • Integrate AI-assisted coding tools and AI features into products.
  • Collaborate with data scientists and architects on AI-enabled delivery.
  • Ensure secure coding practices and reliable CI/CD pipelines.
  • Conduct code reviews and performance optimization.

Skills

Full stack
Java/Spring Boot
Python
Node.js
React/Angular/Vue
REST/GraphQL
SQL/NoSQL
Docker/Kubernetes
Cloud (AWS/Azure/GCP)
AI tooling / Copilot

Education

Bachelor's degree in CS or related

Tools

Git
CI/CD

Job description

EPS Computer Systems PTE LTD in Singapore seeks a seasoned Full Stack Engineer to design, build, and deliver AI-enhanced software across the full stack. You will work with modern stacks, AI-assisted tools, microservices, and cloud platforms to create scalable, high‑quality applications while focusing on secure coding, performance, and rapid delivery.

You will collaborate with data scientists and architects to take AI capabilities from prototype to production, ensuring robust, maintainable, and

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