Full-Stack AI Engineer
Contract Period: 1 year
Location: Singapore
Responsibility
The Full-Stack AI Engineer is responsible for designing, developing, deploying, and maintaining secure and scalable web applications, with a strong focus on AI-enabled development and AI application integration. The role requires strong full-stack engineering capabilities across React, Next.js, Node.js, PostgreSQL, modern AI coding tools, database-as-code, cloud, and DevOps practices.
- Own end-to-end application development across frontend, backend, database, AI integration, testing, and deployment.
- Design and develop responsive and maintainable applications using React, Next.js, TypeScript, and Node.js.
- Develop secure and scalable backend services, APIs, and integrations.
- Design and manage PostgreSQL schemas, migrations, and data models using database-as-code practices.
- Use AI coding assistants and agents effectively for development, testing, debugging, refactoring, and documentation while ensuring generated code is reviewed and validated.
- Develop AI-enabled application features through integration with LLMs and Generative AI APIs, including structured outputs, tool/function calling, RAG, and agentic workflows where applicable.
- Develop automated tests and proactively identify and resolve defects.
- Implement and maintain CI/CD pipelines for automated testing, database migration, and deployment.
- Apply secure development practices covering authentication, authorization, API security, secrets, data protection, and AI-specific security risks.
- Continuously evaluate emerging AI and software engineering technologies to improve developer productivity and application capabilities.
Experience and Skills Needed
Full-Stack Development
- Degree or Diploma in Computer Science, Engineering, Information Technology, or related disciplines, or equivalent relevant experience.
- Strong hands-on experience in full-stack application development.
- Strong proficiency with Git, JavaScript, and TypeScript.
- Experience taking applications or features from requirements through development, testing, and deployment.
Frontend Technologies
- Fluent in React.js and Next.js.
- Strong proficiency in TypeScript and JavaScript.
- Experience with component and styling frameworks such as Tailwind CSS, shadcn/ui, or equivalent.
- Understanding of responsive design, accessibility, frontend performance, and modern React/Next.js architecture.
Backend Technologies
- Fluent in Node.js, with experience in frameworks such as Express.js.
- Strong experience designing and developing RESTful APIs.
- Experience with authentication, authorization, integration services, and secure API development.
- Knowledge of GraphQL, WebSockets, or gRPC is advantageous.
PostgreSQL & Database-as-Code
- Strong proficiency with PostgreSQL, relational data modelling, SQL, indexing, and query optimisation.
- Experience managing database schemas and migrations using database-as-code principles.
- Experience with ORM/database tools such as Prisma, Drizzle ORM, TypeORM, or equivalent.
- Understanding of database version control and automated deployment strategies.
AI Coding & Development
- Proven practical experience using AI coding assistants or coding agents such as GitHub Copilot, Claude Code, OpenAI Codex, or equivalent.
- Ability to use AI effectively for coding, prototyping, testing, debugging, refactoring, and documentation.
- Experience reviewing, testing, and securing AI-generated code before production use.
- Experience integrating applications with LLM/Generative AI services such as OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, or equivalent.
- Knowledge of AI application patterns such as prompt engineering, structured outputs, tool/function calling, RAG, embeddings, vector search, and AI agents is advantageous.
DevOps, Cloud & Observability
- Experience with CI/CD pipelines on GitLab (SGTS).
- Hands-on experience with cloud platforms such as AWS (GCC).
- Experience with application logging, monitoring, error tracking, and observability tools.
- Understanding of containerisation and infrastructure-as-code is advantageous.
Preferred Profile
A hands-on engineer who combines strong full-stack engineering fundamentals with AI-native development practices (at least 5 years’ experience). The candidate should be comfortable rapidly building applications using React/Next.js, Node.js and PostgreSQL, extensively leveraging AI coding tools while maintaining appropriate standards for architecture, security, testing, and maintainability.