Limited Recruitment [AI Engineer]English summary from Japanese

Must-haves

• Development experience for AI Implementation Engineer role
• Infrastructure/cloud experience for AI Infrastructure Engineer role
• Experience integrating AI into business applications or systems
• Experience designing and building AI utilization infrastructure (AWS/Azure/GCP)
• Experience setting up environments for AI services (e.g., Amazon Bedrock, Azure OpenAI, OpenAI API, Dify)
• Experience designing and operating data integration platforms, search platforms, and vector databases

Nice-to-haves

• Experience with LUI/CUI application development
• Experience designing and developing AI agents and business automation tools
• Experience integrating external tools and systems using MCP
• Experience with API integration and existing system integration
• Experience with Frontend/Backend development
• Experience organizing specifications, constraints, and verification conditions based on AI-driven development
• Experience with technology selection and verification tailored to customer challenges
• Experience designing authentication/authorization, permission management, logging, monitoring, and security
• Experience with CI/CD, operational design, and monitoring design
• Experience with cloud architecture design for AI utilization
• Experience responding to AI-specific risks (e.g., prompt injection, tool misuse, data exfiltration)
• Experience with infrastructure setup from PoC to production operation

Tech stack