Software Engineer (Professional Research Personnel)

Research and validate AI agent technologies, assess product applicability through proofs of concept, and develop AI-centered full-stack products. Design AI agent features, build Agentic AI services, use AI coding tools, and operate reliable production systems with monitoring, logging, and error handling.

Responsibilities

• Research and validate AI agent technologies, including MCP/A2A architectures and multi-agent orchestration
• Assess product applicability through proofs of concept
• Develop AI-centered full-stack products across React and Next.js frontends, Node.js backend APIs, and data models
• Design new features for MCP/A2A-based AI agent products
• Build Agentic AI services that solve business problems
• Use AI coding agents such as Claude Code and Codex to improve development productivity and code quality
• Establish monitoring, logging, and error-handling systems
• Take responsibility for stable production operations

Requirements

• Master's degree or higher, including completion of an integrated master's and doctoral program
• Ability to complete the three-year mandatory service period for professional research personnel by age 35
• Experience independently completing a project from planning or problem definition through a working result
• Ability to develop both TypeScript-based frontend applications with React and Next.js and backend applications with Node.js
• Ability to actively use AI coding tools such as Claude Code and Codex while critically validating and improving AI-generated results to production quality
• Understanding of RDBMS and NoSQL database design
• Understanding of Git version control and CI/CD pipelines
• Experience building and operating Agentic AI or multi-agent systems
• Experience developing AI or LLM services, prompt engineering, and agent design
• Research experience in AI/ML, distributed systems, or systems software
• Experience publicly sharing results through papers, open-source contributions, or technical blogs
• Experience operating cloud infrastructure such as GCP and deploying containerized applications with Docker and Kubernetes
• Experience developing chatbots or conversational interfaces and considering conversational flows and response speed