Назад
57 минут назад

Medical Systems Backend Python Software Engineer (Medtech)

250 000 - 350 000
Формат работы
remote
Тип работы
fulltime
Грейд
middle
Английский
b2

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Описание вакансии

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TL;DR

Medical Systems Backend Python Software Engineer (Python/FastAPI): Delivery of AI results to clients via web APIs and applications with an accent on high flexibility, system stability, and medical data standards. Focus on designing distributed backend services, improving test coverage, and collaborating with AI scientists to implement clinical decision-making models.

Location: Remote

Salary: 250,000–350,000 ₽

Company

Medical AI company collaborating with international scientists and doctors to build clinical decision-making tools.

What you will do

  • Develop and maintain Python backend services within a distributed system architecture.
  • Build and optimize REST APIs to ensure efficient delivery of AI results to clients.
  • Implement automated testing and increase unit test coverage to enhance system stability.
  • Manage regular database schema updates and maintain a flexible, reusable codebase.
  • Collaborate with doctors and AI scientists to build models around clinical decision-making processes.

Requirements

  • 2+ years of professional experience in Python development.
  • Strong skills in web application design and database design (SQL, queries, migrations).
  • Proficiency with FastAPI, REST, HTTP, and TCP.
  • Experience working with Linux and Docker.
  • English: B2+ required

Nice to have

  • Knowledge of medical standards such as FHIR, DICOM, and HL7.
  • Experience with cloud deployment using GCP, AWS, or Kubernetes.
  • Proficiency in JavaScript.
  • Understanding of machine learning algorithms and computer vision.
  • Formal education in Computer Science and experience with coding agents.

Culture & Benefits

  • Opportunity to work with leading American and European scientists and doctors.
  • Full-time position with flexible working hours.
  • Performance-based monthly bonuses and employee stock options.
  • High potential for professional growth and learning by solving complex medical problems.

Hiring process

  • Initial screening.
  • Technical interview (1.5 hours).
  • Culture fit interview.

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