Full Stack Developer (Next.js, React, Node.js, AWS, AI)

About the role

Cheil Worldwide, an integrated marketing communications network founded in 1973 with headquarters in Seoul, is hiring a hands-on Full Stack Developer. The developer builds applications from scratch and takes them through to production, working across frontend and backend development, AWS infrastructure, CI/CD and DevOps, while developing AI-powered features and automated workflows.

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.
• Integrate LLM APIs, enterprise data sources and external services, and build 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).
• Use AI-assisted coding tools and review generated code for quality, security and maintainability.
• Collaborate with project managers, designers and stakeholders, maintain technical documentation, conduct code reviews and support applications after launch.

Required profile

• Proven experience of 8 years delivering full stack web applications, including projects built from scratch and deployed to production.
• Ability to work independently, explain technical decisions clearly and take ownership from requirements through deployment and support.

Required skills

• Strong proficiency in JavaScript/TypeScript, Next.js, React and Node.js.
• REST API design and integration of third-party services; relational or NoSQL databases.
• AWS services such as EC2, ECS, Lambda, S3, RDS, CloudFront, IAM and CloudWatch.
• CI/CD with GitHub Actions, GitLab CI/CD or Jenkins.
• Working knowledge of Docker, infrastructure as code and DevOps practices.
• Practical experience integrating LLMs (OpenAI, Anthropic, Amazon Bedrock) and building AI workflows.
• Nice to have: AI agent workflows, n8n or LangChain, automated testing tools, and experience evaluating AI output quality.