AI Software Developer

National University of Singapore; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

National University of Singapore is seeking an AI Software Developer to build intelligent applications leveraging AI tools throughout the development lifecycle. The role involves full-stack development with technologies such as C#/.NET Core, Node.js, and Python, integrating LLM APIs, and ensuring high code quality. Candidates should possess 7-12+ years of experience in software development and a Bachelor’s in Computer Science. Join the team to innovate and enhance teaching and learning through effective applications.

Qualifications

• 7-12+ years software development experience with proven full-stack delivery.
• Expert use of AI coding assistants for coding, refactoring, debugging, and testing.
• Experience integrating LLM APIs (OpenAI, Anthropic) into applications.

Responsibilities

• Use AI coding assistants across the entire SDLC.
• Develop applications using C#/.NET Core, Node.js, and Python.
• Implement LLM APIs and build AI-powered features.

Skills

Full-stack development

AI coding assistants

C#/.NET Core

Node.js

Python

React

Agile methodologies

Education

Bachelor's in Computer Science

Tools

GitHub Copilot

Cursor

Claude

Docker

SQL

Job description

AI Software Developer

Posting Start Date: 25/02/2026

NUS Information Technology is the cornerstone for providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform the university into a borderless computing community by enhancing the use of effective applications and services for teaching and learning.

Job Purpose

Build intelligent, scalable applications by leveraging AI tools throughout the development lifecycle—from requirements analysis to deployment. Design and deliver AI-powered features while using AI assistants (GitHub Copilot, Cursor, Claude) to accelerate development, improve code quality, and drive innovation.

Duties and Responsibilities

• AI-Assisted Development: Use AI coding assistants (GitHub Copilot, Cursor, Claude) across the entire SDLC—requirements gathering, design, coding, testing, documentation, and DevSecOps automation.
• Full-Stack Development: Develop applications using C#/.NET Core, Node.js, Python, with React/Angular frontends. Integrate LLM APIs and build AI-powered features.
• AI Feature Integration: Implement LLM APIs (OpenAI, Anthropic), prompt engineering, semantic search, and intelligent workflows into applications.
• Code Quality & Testing: Use AI tools to generate tests, review code, identify bugs, and improve security. Maintain high engineering standards.
• Technical Leadership: Mentor team on AI tool adoption, establish best practices, and drive productivity improvements through AI‑assisted workflows.

Qualifications

Core Requirements

• 7‑12+ years software development experience with proven full‑stack delivery.
• Bachelor's in Computer Science or equivalent practical experience.

AI Tool Proficiency (Critical)

• Expert use of AI coding assistants (GitHub Copilot, Cursor, Claude) for coding, refactoring, debugging, testing.
• Leverage AI throughout SDLC: requirements analysis, design docs, test generation, code reviews, DevSecOps automation.
• Experience integrating LLM APIs (OpenAI, Anthropic) into applications with prompt engineering.

Technical Stack

• Backend: C#/.NET Core, Node.js, Python (FastAPI/Flask).
• Frontend: React or Angular with TypeScript.
• Database: SQL (MS SQL Server/PostgreSQL/MySQL), NoSQL (MongoDB, Redis).
• API design (RESTful), authentication (OAuth2, JWT), containerization (Docker).

Engineering Excellence

• Strong fundamentals: clean code, design patterns, testing (unit/integration/E2E), CI/CD.
• Agile/SDLC experience, stakeholder communication, mentoring junior engineers.