Full Stack Developer (AI/ML Focus)
Posted
Summary
Builds scalable full-stack applications with AI-powered features (chatbots, intelligent search, recommendations) using JavaScript/TypeScript frontends (React/Angular/Vue), Node.js/Python/Java backends, and AI/ML libraries or AI APIs, deployed to cloud or on-prem environments.
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
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
Skills
- Agile
- AI
- Angular
- API
- Api Design
- Authentication
- Automation
- AWS
- Azure
- CI/CD
- Cloud
- Containerization
- DevOps
- Docker
- FastAPI
- Flask
- GCP
- Java
- JavaScript
- JSON
- Kubernetes
- Machine Learning
- Microservices
- MongoDB
- MySQL
- Node.js
- NoSQL
- OpenAI
- PostgreSQL
- Python
- PyTorch
- React
- scikit-learn
- SDLC
- Spring
- TensorFlow
- TypeScript
- Vue