Full Stack Developer

An exciting opportunity awaits at Changi Digital Factory, driving the digital transformation ofChangi Airport Group. As part of an agile, cross-functional squad, you will contribute to thedesign and development of digital products and AI-enabled solutions that support airportoperations and commercial initiatives. Working alongside Product Owners, UX designers,engineers, and business stakeholders, you will deliver solutions that enhance businessoperations and the passenger experience.

Responsibilities:

• Develop and maintain full stack web applications using modern technologies.


• Leverage AI-assisted development tools to improve engineering productivity and codequality.


• Develop backend services, RESTful APIs, user interfaces, and integrations with internal andexternal systems.


• Collaborate with Product Owners, UX designers, business stakeholders, and engineers todeliver technical solutions.


• Design, develop, test, deploy, and support cloud-native applications on AWS.


• Build AI-enabled solutions integrating Large Language Models (LLMs) and AI agents whereappropriate.


• Evaluate AI outputs and improve solution accuracy and user experience.


• Troubleshoot application issues and deliver reliable, scalable solutions.


• Participate in agile delivery and knowledge sharing.

Requirements:

• Around 1–3 years of experience in full stack application development.


• Proficiency in Python and/or JavaScript/TypeScript.


• Familiarity with React or Next.js.


• Basic understanding of backend development, RESTful APIs, and relational or NoSQLdatabases.


• Exposure to AWS. Experience with services such as Lambda, API Gateway, DynamoDB, RDS,S3, Cognito, SNS, SQS, Bedrock, or AgentCore is an advantage.


• Familiarity with Infrastructure as Code (AWS CDK or Terraform) and CI/CD tools (Git, GitHubActions, or similar) is a plus.


• Basic understanding of generative AI concepts, including prompt design, LLM integration, AIagents, Retrieval Augmented Generation, tool use, and evaluation.


• Awareness of software engineering practices for building reliable AI applications, such asgrounding, validation, guardrails, observability, and human-in-the-loop workflows, is anadvantage.


• Strong analytical, problem-solving, and communication skills with a collaborative mindset.


• Willingness to learn new technologies and work across both AI-related and conventionalsoftware development projects.