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8 дней назад

Member of Technical Staff (Full-stack, Backend-Focused, Python)

175 000 - 240 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Member of Technical Staff (Full-stack, Backend-Focused, Python) (AI for science): Building backend services, APIs, databases, data pipelines, and user-facing workflows for an AI scientist platform with an accent on scientific discovery, end-to-end feature ownership, and reliable system foundations. Focus on designing scalable data systems, integrating AI-driven capabilities, and implementing observability and automated testing across the stack.

Location: New York is listed in the posting; the role is on-site at the San Francisco office in Dogpatch.

Salary: $175,000–$240,000 per year plus equity.

Company

hirify.global Scientific builds and deploys AI scientist agents and the software platforms that accelerate scientific discovery and the development of new medicines.

What you will do

  • Design, implement, and maintain backend services, APIs, and databases powering the scientific discovery platform.
  • Build and extend data pipelines supporting AI agents and research workflows.
  • Contribute to frontend features and workflows in collaboration with designers and frontend engineers.
  • Implement monitoring, observability, and automated testing to improve reliability and uptime.
  • Troubleshoot issues across the stack and ship AI-driven features with engineering, design, and research teams.

Requirements

  • Typically 6+ years of software engineering experience across backend and frontend development.
  • Strong proficiency in a backend language such as Python or Node; Python is required for the interview process.
  • Experience designing and consuming APIs, including FastAPI and REST; GraphQL knowledge is a plus.
  • Familiarity with React, Next.js, or similar frontend frameworks and modern web development practices.
  • Working knowledge of relational or document databases, cloud infrastructure, Docker, version control, CI/CD, and automated testing.
  • Ability to work on-site at the San Francisco office.

Nice to have

  • Experience with data-heavy systems, scientific tooling, or ML/AI-adjacent platforms.
  • Prior experience in startups or small teams with end-to-end ownership.
  • Exposure to GraphQL, Kubernetes, or additional cloud platforms.

Culture & Benefits

  • Collaborative Product Engineering team working on AI for science.
  • Full healthcare coverage, including 100% premium coverage for employees and dependents.
  • Paid parental leave, fertility coverage, new parent support, and mental health services.
  • 401(k) company matching, commuter benefits, and quarterly health and wellness support.
  • Daily office lunch, dinner when working late, team off-sites, and company events.

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