AI+Node.js Full Stack Developer (Fresh Graduate)
Summary
Build full-stack web apps with Node.js (Koa/Nest.js) and React/Vue, integrating AI tools for code generation and optimization while working with MySQL/MongoDB and cloud platforms.
Join Linkwave AI -
Singapore's fast-growing AI-powered telecom & enterprise automation company. We're building the AI workforce for ASEAN SMEs.
Key Responsibilities
Participate in full-stack development of web products, using
Node.js + Koa/Nest.js
to build backend services and RESTful APIs, and using
React/Vue
to implement responsive interactive pages. Design database schemas and optimize queries for
MySQL/MongoDB , with basic proficiency in
ORM frameworks
(TypeORM/Sequelize). Deeply integrate
AI coding tools
(GitHub Copilot, Cursor, Claude Code, etc.) throughout the development lifecycle - leveraging AI for code generation, refactoring, unit test writing, and bug fixing - while reviewing and fine-tuning AI‑generated code to ensure quality and security. Participate in basic deployment and operations on cloud platforms ( AWS/Azure/GCP ), and understand the basics of
Docker
containerized development environments. Collaborate with the team on code reviews, technical documentation, and agile iterations, following
Git Flow
conventions. Keep up with the latest trends in AI‑assisted development, and explore potential integration of
LLM APIs
(e.g., OpenAI API, Claude API) into real business scenarios. Assist in system performance analysis and basic troubleshooting, continuously improving application experience and stability. Requirements Education : Bachelor's or Master's degree (2025/2026 graduate) in Computer Science, Software Engineering, Information Technology, or a related field. Node.js Backend Fundamentals : Familiar with Node.js asynchronous programming model, event loop, and built-in modules knowledge of at least one backend framework (Nest.js / Koa). Frontend Basics : Proficient in HTML5, CSS3, and modern JavaScript (ES6+) familiar with at least one frontend framework (React or Vue), able to independently build page components. Database Basics : Ability to write SQL queries, basic understanding of MySQL or PostgreSQL experience with ORM (TypeORM) is a plus. Version Control & Collaboration : Proficient in Git for code management and team collaboration. AI Tool Proficiency : Have used at least one AI‑assisted programming tool (GitHub Copilot, Cursor, Claude Code, etc.) in practical coding or course projects. Able to leverage AI to generate code snippets, add comments, explain complex logic, and reasonably review/optimize AI‑generated content. Nice-to-Have Own technical blog, GitHub repository, or have contributed to open‑source projects. Basic knowledge of Docker (writing Dockerfiles, using docker-compose). Experience with TypeScript in projects. Basic understanding of Redis (caching, session management). Familiarity with basic cloud services (e.g., EC2, S3, Lambda) on AWS, Alibaba Cloud, or Azure. Experience calling LLM APIs (e.g., OpenAI API, Claude API) for simple features. Strong interest in Generative AI, understanding basic concepts like RAG and Prompt Engineering. Good English and Chinese listening, speaking, reading, and writing skills for daily communication. Soft Skills Passionate about technology, with sustained enthusiasm for full‑stack development and AI‑assisted development. Strong team collaboration and communication skills, able to work effectively with product, design, and cross‑regional teams. Ability to independently break down and solve problems, skilled at using search engines, AI Q&A tools, and technical documentation to resolve development challenges.
Node.js + Koa/Nest.js
to build backend services and RESTful APIs, and using
React/Vue
to implement responsive interactive pages. Design database schemas and optimize queries for
MySQL/MongoDB , with basic proficiency in
ORM frameworks
(TypeORM/Sequelize). Deeply integrate
AI coding tools
(GitHub Copilot, Cursor, Claude Code, etc.) throughout the development lifecycle - leveraging AI for code generation, refactoring, unit test writing, and bug fixing - while reviewing and fine-tuning AI‑generated code to ensure quality and security. Participate in basic deployment and operations on cloud platforms ( AWS/Azure/GCP ), and understand the basics of
Docker
containerized development environments. Collaborate with the team on code reviews, technical documentation, and agile iterations, following
Git Flow
conventions. Keep up with the latest trends in AI‑assisted development, and explore potential integration of
LLM APIs
(e.g., OpenAI API, Claude API) into real business scenarios. Assist in system performance analysis and basic troubleshooting, continuously improving application experience and stability. Requirements Education : Bachelor's or Master's degree (2025/2026 graduate) in Computer Science, Software Engineering, Information Technology, or a related field. Node.js Backend Fundamentals : Familiar with Node.js asynchronous programming model, event loop, and built-in modules knowledge of at least one backend framework (Nest.js / Koa). Frontend Basics : Proficient in HTML5, CSS3, and modern JavaScript (ES6+) familiar with at least one frontend framework (React or Vue), able to independently build page components. Database Basics : Ability to write SQL queries, basic understanding of MySQL or PostgreSQL experience with ORM (TypeORM) is a plus. Version Control & Collaboration : Proficient in Git for code management and team collaboration. AI Tool Proficiency : Have used at least one AI‑assisted programming tool (GitHub Copilot, Cursor, Claude Code, etc.) in practical coding or course projects. Able to leverage AI to generate code snippets, add comments, explain complex logic, and reasonably review/optimize AI‑generated content. Nice-to-Have Own technical blog, GitHub repository, or have contributed to open‑source projects. Basic knowledge of Docker (writing Dockerfiles, using docker-compose). Experience with TypeScript in projects. Basic understanding of Redis (caching, session management). Familiarity with basic cloud services (e.g., EC2, S3, Lambda) on AWS, Alibaba Cloud, or Azure. Experience calling LLM APIs (e.g., OpenAI API, Claude API) for simple features. Strong interest in Generative AI, understanding basic concepts like RAG and Prompt Engineering. Good English and Chinese listening, speaking, reading, and writing skills for daily communication. Soft Skills Passionate about technology, with sustained enthusiasm for full‑stack development and AI‑assisted development. Strong team collaboration and communication skills, able to work effectively with product, design, and cross‑regional teams. Ability to independently break down and solve problems, skilled at using search engines, AI Q&A tools, and technical documentation to resolve development challenges.