- Experience
- 8 yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Resume
- Required to apply
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Job description
About Cheil Worldwide
Cheil Worldwide, founded in 1973 and headquartered in Seoul, South Korea, stands as a leading integrated marketing communications network globally. It encompasses over 7,200 employees spread across more than 54 offices in 46 countries.
Role Overview
We are seeking a proactive Full Stack Developer tasked with creating applications from the ground up and overseeing their end-to-end deployment. This role involves engagement in frontend and backend development, AWS cloud infrastructure management, CI/CD pipeline construction, DevOps responsibilities, and pioneering AI-enhanced features and automated business workflows.
Primary Responsibilities
- Architect, build, and sustain comprehensive full stack software solutions utilizing Next.js, React, Node.js, and TypeScript.
- Deliver end-to-end development including system architecture, database schema design, API creation, user authentication, and deployment procedures.
- Create interfaces that are both responsive and accessible, along with stable backend service layers.
- Manage deployment and operational maintenance of applications on AWS, with an emphasis on security, scalability, performance, and cost-efficient operations.
- Establish and uphold automated CI/CD processes for continuous integration, testing, building, and delivery.
- Lead DevOps-related tasks including configuring environments, automating infrastructure, monitoring operations, logging, and issue resolution.
- Integrate AI by linking large language model APIs and merging enterprise data sources alongside external services.
- Construct automated AI workflows aimed at optimizing business procedures, content workflows, and internal productivity enhancements.
- Utilize advanced LLM capabilities such as structured data outputs, tool invocation, and retrieval-augmented generation (RAG) when applicable.
- Employ AI-assisted coding platforms to expedite development, combined with rigorous review processes to ensure code quality, security, and maintainability.
- Work closely with project leads, designers, and other stakeholders to translate business objectives into technical implementations.
- Maintain comprehensive technical documentation, conduct routine code reviews, and provide post-launch application support.
Required Skills & Experience
- A minimum of eight years’ experience delivering full stack web applications, including projects built from inception through to production deployment.
- Strong command of JavaScript and TypeScript along with expertise in Next.js, React, and Node.js development frameworks.
- Proficient in designing RESTful APIs and integrating with third-party services.
- Experience working with relational and NoSQL database systems, including data modeling and query optimization.
- Deep knowledge of AWS cloud services like EC2, ECS, Lambda, S3, RDS, CloudFront, IAM, and CloudWatch.
- Hands-on experience configuring and managing CI/CD pipelines using tools such as GitHub Actions, GitLab CI/CD, or Jenkins.
- An understanding of containerization with Docker, infrastructure-as-code, and DevOps methodologies.
- Proven experience integrating and utilizing LLMs and AI platforms including OpenAI, Anthropic, or Amazon Bedrock.
- Skilled in designing AI-driven workflows through coding, orchestration frameworks, or automation software.
- Familiarity with AI-assisted development tools like GitHub Copilot, Cursor, or Codex.
- Solid grasp of cybersecurity principles, including access controls, secret management, testing protocols, and debugging techniques.
- Ability to work autonomously, communicate technical concepts clearly, and deliver complete solutions from conception to support.
Preferred Qualifications
- Exposure to AI agent workflow development.
- Experience with workflow automation tools such as n8n or LangChain.
- Advanced skills with AWS infrastructure management.
- Knowledge of automated testing frameworks.
- Experience in assessing AI output quality, managing latency and token costs, ensuring data privacy, and handling failure scenarios.