RRemoteville

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AI Platform Engineer

Skills
Good Clinical PracticeGoogle Cloud PlatformInfrastructure As CodeManagementMicrosoft SurfaceModel-View-PresenterReuse
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Architect systems from scratch and carry them through public release
  • Understand the difference between prototype MVP and scalable product
  • Experience building evaluation suites for AI or ML systems
  • Interest in reliability monitoring and evaluation
  • Experience on small teams with broad responsibility
  • Strong collaboration across disciplines and organizations
  • Work that matters to you

Nice to have

  • Adaptable
  • Collaborative
  • Cross-functional
  • Mission-driven

Day to day

  • Own cloud infrastructure that ships client projects from prototype to production
  • Design and implement IaC, CI/CD, observability, security, and compliance patterns across AWS, GCP, and other environments
  • Build and run AI ops tooling including evaluation pipelines, shared registries, cost controls, and reusable platform modules
  • Contribute application code, debug across the stack, collaborate directly with engineers and clients, and document handoffs

Hiring process

  • Email your resume and a short note on a project you're proud of to info@ode.partners