Full Stack Developer (AI/ML Focus)

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