fastapi developer for clinical AI

HireHi

Netherlands

Hybrid

EUR 80,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Pension plan
25 vacation days
Learning budget €1000
Team events
Commuting subsidy
Office in Netherlands or Switzerland

Job summary

HireHi ищет опытного Backend-инженера для разработки и поддержки сервисов на Python с использованием FastAPI. Ваша работа будет включать владение стэком Docker/Kubernetes/ArgoCD и PostgreSQL, участие в межфункциональных командах и формирование устойчивых, масштабируемых решений.

Ожидается не менее 5 лет опыта, умение работать в условиях неопределенности и способность доносить требования до стейкхолдеров. Вакансия предполагает гибридный режим с офисом в Нидерландах или Швейцарии и ценит

Qualifications

  • Минимум 5 лет опыта разработки и поддержки качественного ПО в продакшне.
  • Понимание основ разработки, архитектурных паттернов и trade-offs.
  • Умение брать ответственность за результаты и ценность фич для пользователей.
  • Умение проактивно общаться со стейкхолдерами и выявлять риски на ранних стадиях.

Responsibilities

  • Разработка и поддержка Backend-сервисов на Python (FastAPI).
  • Владение данными задачами в рамках межфункциональных команд.
  • Поддержка других команд внутри компании.
  • Формирование и совершенствование процессов разработки.
  • Неся ответственность за выпуск функционала и качество кода.
  • Участие в технических требованиях и архитектурных обсуждениях.
  • Соблюдение стандартов качества и устойчивости продукта.

Skills

Python
FastAPI
Cloud-native
Ownership
Stakeholder comms

Tools

Docker
Kubernetes
ArgoCD
PostgreSQL
Helm
FastAPI

Job description

Описание:

Kaiko is building a next-generation agentic clinical AI assistant that helps clinicians reason across patient data, guidelines, and diagnostics. Its system maintains longitudinal patient context across encounters, clinicians, and institutions, supporting collaboration, second opinions, complex diagnostic workflows, human oversight, auditability, and regulatory alignment. The company is also developing specialized diagnostic agents for oncology, radiology, and pathology in collaboration with leading hospitals and research centres.

Задачи:
  • Develop and maintain Backend services using Python (FastAPI), Helm, Kubernetes, ArgoCD, and Postgres;
  • Own the delivery of Backend work within focused, interdisciplinary, feature-driven squads;
  • Support other internal teams;
  • Shape and refine development practices;
  • Take ownership of shipping features;
  • Help shape technical requirements;
  • Maintain quality standards and product stability.
Требования:
  • Have at least 5 years of experience delivering high-quality software and maintaining it in production;
  • Understand software engineering fundamentals, best practices, and software architecture tradeoffs;
  • Take ownership of deliverables and understand the value features bring to end users;
  • Communicate proactively with stakeholders and surface issues or uncertainties early;
  • Work pragmatically and factually with ambiguity;
  • Challenge assumptions and resolve ambiguity;
  • Advocate for ideas while letting evidence and product impact guide decisions;
  • Have experience with Python (FastAPI), Docker, Helm, Kubernetes, ArgoCD, and Postgres, or similar technologies;
  • Understand cloud-native principles and best practices;
  • Have delivered scalable and resilient solutions on at least one major public cloud platform;
  • Nice to have: experience in a dynamic, fast-growth scale-up environment, experience in a highly regulated field such as medicine, experience working on an AI-adjacent product.
Условия:
  • Attractive and competitive salary;
  • Good pension plan;
  • 25 Vacation days per year;
  • Great offsites and team events;
  • EUR 1000 learning and development budget;
  • Autonomy to choose a working approach;
  • Annual commuting subsidy;
  • Based in either The Netherlands or Switzerland;
  • At least 50% of working time is expected to be spent at the office;
  • Onsite meeting may be included in the interview process.
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