Full Stack Developer

Cheil Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Cheil Singapore is seeking a hands-on Full Stack Developer to build applications from scratch and take them to production. You will work across frontend and backend development, AWS infrastructure, CI/CD, and DevOps, while developing AI-powered features and automated workflows.

The ideal candidate combines strong software engineering fundamentals with practical experience using AI-assisted development tools and integrating large language models (LLMs) into business applications.

Qualifications

• 8+ years delivering full stack web apps, including production deployments.
• Experience designing REST APIs and integrating third‑party services.
• Hands-on AWS services and CI/CD with modern tooling.

Responsibilities

• Design, develop, and maintain full stack applications across frontend and backend.
• Build from scratch including architecture, database design, API development, authentication, and deployment.
• Develop responsive, accessible interfaces and reliable backend services.

Skills

Next.js

React

Node.js

TypeScript

CI/CD

DevOps

AWS

LLMs

AI services

REST APIs

Database design

Security

Automation

GitHub Copilot

Education

Bachelor’s degree in a relevant field

Tools

Docker

Terraform

GitHub Actions

GitLab CI/CD

Jenkins

AWS CloudWatch

Job description

Established in 1973 with headquarters in Seoul, South Korea, Cheil Worldwide is one of the world’s leading integrated marketing communications networks, with more than 7,200 employees globally in more than 54 offices in 46 countries.

We are inviting candidates for the position of:

Full Stack Developer

We are looking for a hands-on Full Stack Developer who can build applications from scratch and take them through to production. You will work across frontend and backend development, AWS infrastructure, CI/CD, and DevOps, while developing AI-powered features and automated workflows.

The ideal candidate combines strong software engineering fundamentals with practical experience using AI-assisted development tools and integrating large language models (LLMs) into business applications.

Key Responsibilities

• Design, develop, and maintain full stack applications using Next.js, React, Node.js, and TypeScript.
• Build applications from scratch, including architecture, database design, API development, authentication, and deployment.
• Develop responsive, accessible interfaces and reliable backend services.
• Deploy and manage applications on AWS, with attention to security, performance, scalability, and cost.
• Set up and maintain CI/CD pipelines for automated testing, builds, and deployments.
• Own DevOps activities, including environment configuration, infrastructure automation, monitoring, logging, and troubleshooting.
• Build AI-powered solutions by integrating LLM APIs, enterprise data sources, and external services.
• Develop automated AI workflows for business processes, content operations, and internal productivity.
• Implement LLM capabilities such as structured outputs, tool calling, and retrieval-augmented generation (RAG), where appropriate.
• Use AI-assisted coding tools to accelerate development while reviewing and validating generated code for quality, security, and maintainability.
• Collaborate with project managers, designers, and stakeholders to translate requirements into practical technical solutions.
• Maintain technical documentation, conduct code reviews, and support applications after launch.

Required Skills & Experience

• Proven experience of 8 years, delivering full stack web applications, including projects built from scratch and deployed to production.
• Experience designing REST APIs and integrating third-party services.
• Experience with relational or NoSQL databases, including data modelling and query optimisation.
• Hands‑on experience with AWS services, such as EC2, ECS, Lambda, S3, RDS, CloudFront, IAM, and CloudWatch.
• Experience implementing CI/CD using GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.
• Working knowledge of Docker, infrastructure as code, and DevOps practices.
• Practical experience integrating LLMs and AI services, such as OpenAI, Anthropic, or Amazon Bedrock.
• Experience building AI workflows using code, orchestration frameworks, or automation platforms.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Codex.
• Strong understanding of application security, access control, secrets management, testing, and debugging.
• Ability to work independently, explain technical decisions clearly, and take ownership from requirements through deployment and support.

Nice to Have

• Experience with AI agent workflows.
• Experience with workflow automation platforms such as n8n, LangChain, or equivalent.
• Familiarity with AWS
• Experience with automated testing tools
• Experience evaluating AI output quality and managing latency, token costs, data privacy, and failure handling.