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Full-Stack AI Engineer

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Onsite

Full-Stack AI Engineer

RAPSYS TECHNOLOGIES PTE LTD

Full-Stack AI Engineer

Skills

SQL QueriesNextReactNodeTypescriptTailwind CSSExpressPostgreSQLGraphQLAIAWSJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Singapore

Work mode:

Onsite

Published on:

8 September 2026

What they need


We are seeking a passionate and dedicated Full-Stack AI Engineer to join our team.

💼 Experience: We are looking for candidates with at least 5 years of experience in relevant fields.

📍 Location: Singapore, Singapore

⏰ Work Mode: Work from Office

Responsibilities

  • Design, develop, deploy, and maintain secure and scalable AI-enabled web applications.

  • Develop end-to-end solutions across frontend, backend, database, AI integration, testing, and deployment.

  • Build applications using React, Next.js, TypeScript, Node.js, and PostgreSQL

    .

  • Develop secure APIs, backend services, database schemas, and migrations.

  • Integrate applications with LLMs and Generative AI APIs

    .

  • Use AI coding assistants/agents for development, testing, debugging, and documentation while reviewing generated code.

  • Implement automated testing and CI/CD pipelines.

  • Apply security best practices for applications, APIs, data, and AI integrations.

Required Skills

  • At least 5 years of hands-on full-stack development experience

    .

  • Strong experience with React.js, Next.js, Node.js, JavaScript, and TypeScript

    .

  • Strong proficiency in PostgreSQL and SQL

    .

  • Experience developing RESTful APIs

    and secure integrations.

  • Experience with Git, CI/CD, and AWS (GCC)

    .

  • Hands-on experience with AI coding tools/agents

    and integrating LLM/Generative AI services

    .

  • Experience in end-to-end application development, testing, and deployment.

Good-to-Have Skills

  • Tailwind CSS, shadcn/ui, or similar frameworks.
  • Express.js, GraphQL, WebSockets, or gRPC.
  • Prisma, Drizzle ORM, TypeORM, or similar tools.
  • RAG, embeddings, vector search, AI agents, and prompt engineering.
  • Containerisation, Infrastructure-as-Code, and observability tools.

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