logo
Tap Growth ai

Full-Stack AI Engineer

Asia

August 31, 2026 at 5:25 AM

โœจ AI summary

Location

  • Singapore

Languages

  • JavaScript
  • TypeScript
  • SQL

Frameworks

  • React
  • Next.js
  • Node.js
  • Express.js
  • GraphQL
  • WebSockets
  • gRPC
  • Tailwind CSS
  • shadcn/ui
  • Prisma
  • Drizzle ORM
  • TypeORM

Cloud Services

  • AWS (GCC)

Databases

  • PostgreSQL

Experience Level

  • 5+ years

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

๐Ÿ’ผ Experience: We are looking for candidates with at least 5 years of experience in relevant fields.

๐Ÿ“ Location: Singapore, Singapore

โฐ 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 usingReact, Next.js, TypeScript, Node.js, and PostgreSQL.
  • Develop secure APIs, backend services, database schemas, and migrations.
  • Integrate applications withLLMs 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 least5 years of hands-on full-stack development experience.
  • Strong experience withReact.js, Next.js, Node.js, JavaScript, and TypeScript.
  • Strong proficiency inPostgreSQL and SQL.
  • Experience developingRESTful APIsand secure integrations.
  • Experience withGit, CI/CD, and AWS (GCC).
  • Hands-on experience withAI coding tools/agentsand integratingLLM/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.