Full Stack AI Engineer

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.