Software Engineer (Experienced)
Common Computer Inc. is a Seoul-based enterprise AI company that builds "AI Network Enterprise," an on-premise platform connecting autonomous AI agents, internal systems, and organizational knowledge without relying on external SaaS. Its solution combines agent-to-agent (A2A) collaboration, MCP-based integration with internal ERP/systems, and knowledge graph technology to deliver secure, accurate AI automation for enterprises operating in closed/air-gapped network environments. Clients include large Korean enterprises such as SK Networks (Walkerhill hotel), Kakao Pay Securities, and InBody.
About Common Computer Inc.
Common Computer Inc. positions itself as an alternative to SaaS-based AI tools for enterprises that cannot use cloud services due to security or regulatory constraints (closed networks, no data export). Its flagship offering, "AI Network Enterprise," is built on three pillars: MCP for integrating fragmented internal ERP and enterprise systems on-premise; A2A (Agent-to-Agent) protocols enabling autonomous agents to self-distribute, negotiate, and recover from failures without human instruction; and a Knowledge Graph that structures organizational knowledge into a reusable, continuously self-learning asset with claimed ~98% accuracy. The platform lets people, autonomous agents, and enterprise data operate together within a firewall, with agents accessible via @-mentions in tools like Slack, and documents from Notion/M365 automatically becoming structured, searchable knowledge rather than static files. The company reports performance metrics such as running on a single GPU, 3.2x faster average response than ChatGPT, +15% search accuracy versus Google Drive, and zero external data transmission (air-gapped). Case studies include SK Networks' Walkerhill hotel (WISE decision-support system and an AI guide chatbot), Kakao Pay Securities' AI Contact Center, and InBody's personalized healthcare AI guide using body-composition and health data. Its clients are primarily large enterprises in regulated or security-sensitive industries such as hospitality, finance, and healthcare in South Korea.
Skills
About the Role
You will build and operate AI-centered full-stack products across the frontend and backend, using React and Next.js, Node.js, and data modeling. You will design AI agent features, build Agentic AI services, use AI coding tools, and establish monitoring, logging, and error-handling systems for reliable production operations.
Requirements
- At least 2 years of software development experience or equivalent ability
- Ability to independently complete a project from initiation through production deployment and operation
- 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
- Experience designing and operating RDBMS and NoSQL databases
- 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
- 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
Responsibilities
- 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