English summary for screening — check the original posting before applying.
Aillis is developing AI medical devices, including their AI-powered diagnostic tool "nodoca". This role involves broad responsibilities across frontend, backend, infrastructure, and AI implementation, with a focus on building robust backend systems and integrating AI for stable delivery to medical sites.
Must-haves
- 5+ years of backend system design and development experience
- 1+ year of frontend development experience (UI/UX implementation)
- 1+ year of application development experience using Python
- 5+ years of system construction and operation experience in public cloud environments (AWS/GCP/Azure)
- Database performance tuning skills
- Container technology (Docker) development and deployment skills
- Knowledge of network protocols (TCP/IP, HTTP, SMTP, DNS)
- Architecture design and technology selection skills
- Team development and quality assurance skills using version control tools (Git)
Nice-to-haves
- Requirements definition and consensus building skills with non-engineers
- Agile/Scrum development skills
- Engineering management/team lead skills
- Agile development/collaboration skills in uncertain environments (startups)
- On-premise environment (Linux/Windows server) development/operation skills
- IaC (Infrastructure as Code) skills
- Efficient coding/debugging/refactoring using generative AI tools (GitHub Copilot, Cursor)
- LLM API integration and RAG architecture design/implementation skills
- Expertise in medical information systems and security
Tech stack
JavaScriptTypeScriptPythonReactFastAPIGitHubMySQLAWSDockerFigmaSlackGoogle WorkspaceesaNotionJiraGitHub CopilotCursor
Work style
Hybrid/Remote possible. Location: Aillis HQ (Tokyo), or online. Flexible working hours with no core time.
Other notes
Salary: Monthly 500,000 JPY ~ (Annual 6,000,000 - 10,000,000 JPY). Overtime: Average 20 hours/month. Side jobs/multiple jobs allowed. Short-term full-time positions available (e.g., 3 days/week).