Remote Full-Stack Engineer for Medical AI Copilot

LatamCent

Argentina

Presencial

ARS 83.217.000 - 98.348.000

Jornada completa

14 días+
Generador de candidaturas

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Ventajas ofrecidas por este puesto de trabajo

Equity package
Unlimited PTO

Descripción de la vacante

LatamCent is seeking software engineers to help build a real-time medical AI copilot for operating rooms. You’ll own backend services, data pipelines, and interfaces that connect devices to cloud processing and diagnostics, collaborating with CV/ML and design teammates.

The role suits both early-career and senior engineers seeking deep technical range, with ownership from day one and a path toward production-grade, regulator-friendly software.

Formación

  • Bachelor's degree in computer science or software engineering or equivalent.
  • 2+ years of professional software development experience; senior candidates welcome.
  • Proficiency in Python with front-end experience in JS/TS frameworks.
  • Experience building or integrating APIs and backend services.

Responsabilidades

  • Ship backend services and APIs powering internal tools and the medical platform.
  • Build and maintain data pipelines connecting devices to cloud processing and diagnostics.
  • Turn video, imaging, and model outputs into usable interfaces.
  • Move research prototypes into production with tests and docs.
  • Drive testing, CI/CD, and containerization to keep releases reliable.
  • Collaborate with CV/ML and design teams to deliver end-to-end software.
  • Support development practices aligned with medical-grade standards.

Conocimientos

Python
JavaScript
TypeScript
React
Vue
Angular
APIs
CI/CD
Git
Linux

Educación

Bachelor's degree in CS/Software Eng

Herramientas

Docker
Cloud platforms
REST APIs

Descripción del empleo

LatamCent is seeking software engineers to help build a real-time medical AI copilot for operating rooms. You’ll own backend services, data pipelines, and interfaces that connect devices to cloud processing and diagnostics, collaborating with CV/ML and design teammates.

The role suits both early-career and senior engineers seeking deep technical range, with ownership from day one and a path toward production-grade, regulator-friendly software.

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