Build AI/ML solutions for patient and healthcare operations, covering technical validation, model design, product integration, evaluation, and continuous quality improvement.
About this role
The engineer will develop and improve one of the company’s healthcare platform services: an online medical consultation system, a clinic DX support service, or the miteme Pharmacy service. The work is intended to improve the user experience for patients and healthcare professionals and to support new service development while addressing existing technical debt.
Responsibilities include making technical decisions with the product’s medium- and long-term growth in mind, considering and designing architecture to meet product requirements, and carrying out feature development from implementation through test-code creation, code review, and release. The role also includes identifying and resolving issues in systems and development processes to improve development productivity.
The teams are cross-functional, with product managers, designers, engineers, and QA assigned by product. Most teams use agile development with one- or two-week sprints. Team members are expected to act proactively and contribute to improving the product and the team.
The role has no clear separation between backend and frontend work. Engineers can participate in delivering functionality to users across the development process based on their interests and strengths. The work may involve collaborating with doctors, nurses, medical office staff, and pharmacists, including direct interviews with medical professionals at healthcare sites.
The development environment includes Ruby, Ruby on Rails, TypeScript, React, Next.js, Dart, Flutter, and GraphQL. Infrastructure and monitoring use AWS, including ECS Fargate, CloudFront, and Lambda, as well as GCP, mainly BigQuery for the data analytics platform, and Datadog. The database is PostgreSQL. CI/CD and related tools include CircleCI, Autify, AWS CodePipeline, and GitHub Actions. Terraform is used for infrastructure as code; metabase, Amplitude, and BigQuery are used for data analysis; Figma is used for design; GitHub is used for source-code management; Slack is used for communication; and Notion is used for information sharing.
The position is described as full remote, with asynchronous communication through tools such as Slack supplemented by Slack Huddles, Google Meet, and the virtual office platform gather. The authoritative workplace information also states that work may be performed at the Hamamatsucho office in Minato, Tokyo or remotely.
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