Full Stack Developer (AI/ML Focus)

MINDTECK SINGAPORE PTE LTD; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

Mindteck Singapore Pte Ltd invites a motivated Full Stack Developer with AI/ML exposure to design and build modern applications that leverage AI to deliver smarter user experiences.

You will work across frontend and backend, develop AI-powered features, integrate APIs and microservices, collaborate with data scientists and product owners, and deploy in cloud or on‑prem environments. Experience with React/Angular/Vue, Node.js, Python, and databases preferred.

Qualifications

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

Responsibilities

• Design and build scalable full stack applications from frontend to backend.
• Develop and integrate AI-powered features such as chatbots, intelligent search, or recommendations.
• Work with APIs and microservices to connect AI services with workflows.
• Collaborate with data scientists and product owners in cross-functional teams.
• Participate in system design and technical decision-making.
• Deploy and monitor applications in cloud or on‑prem environments.
• Write clean, maintainable, well-documented code.
• Contribute to Agile sprints or Waterfall phases as required.

Skills

JavaScript/TypeScript

React

Angular

Vue.js

Node.js

Python

Java

REST/JSON

CI/CD

Agile

Security best practices

Education

Bachelor's degree in Computer Science, Software Engineering, or related discipline

Tools

Docker

Kubernetes

PostgreSQL

MySQL

MongoDB

FastAPI/Flask

Spring Boot

Job description

Singaporean Only Job Title: Full Stack Developer (AI/ML Focus)

Summary

We are seeking a motivated Full StackDeveloper with AI/ML exposure to join our growing software engineeringteam. In this role, you will design and build modern applications that leverageartificial intelligence to deliver smarter, more efficient user experiences.

This position is ideal for engineers whoare passionate about both software development and applied AI, and whowant to work on real-world AI-enabled products.

Key Responsibilities

• Design and build scalable full stack applications from frontend to backend
• Develop and integrate AI-powered features such as:
• Conversational interfaces (chatbots)
• Intelligent search or recommendations
• Automation and decision-support systems
• Work with APIs and microservices to connect AI services with application workflows
• Collaborate with cross-functional teams including data scientists and product owners
• Participate in system design, architecture discussions, and technical decision-making
• Deploy and monitor applications in either cloud or on-prem environments
• Write clean, maintainable, and well-documented code
• Contribute to both Agile sprints or structured Waterfall phases as required

Technical Requirements

• 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, or Vue.js
• Backend development experience:
• Node.js, Python (FastAPI/Flask), or Java (Spring Boot)
• Experience with databases:
• Relational (PostgreSQL, MySQL) or NoSQL (MongoDB)
• Understanding of API design and integration (REST/JSON)

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)

Preferred Skills

• Experience with cloud platforms (Azure, AWS, or GCP)
• Familiarity with CI/CD pipelines and DevOps practices
• Exposure to containerization (Docker, Kubernetes)
• Experience working in Agile environments or structured SDLC (Waterfall)
• Knowledge of security best practices and authentication mechanisms