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18 часов назад

Senior Software Engineer, Fullstack (AI)

126 000 - 189 000$
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
Senior Software Engineer, Fullstack (AI) (React/Python): Building production-grade AI applications that help researchers explore literature, synthesize knowledge, and accelerate scientific discovery with an accent on intuitive interfaces, robust backend services, and AI agent integration. Focus on scaling reliable systems, improving observability and automation, and translating research needs into production software.

Location: Seattle, WA; expected to work from the Seattle offices. On-site requirements vary by position and team.

Base salary: $126,000–$189,000 per year, plus bonus plans.

Company

hirify.global is a Seattle-based nonprofit AI research institute building foundational AI research and real-world applications, including open models, data, robotics, and conservation technologies.

What you will do

  • Build rich user interfaces with React and robust backend services in Python.
  • Own the full software development lifecycle from ideation and design through testing, deployment, and operational support.
  • Scale systems cost-effectively while improving reliability, automation, and deployment tooling.
  • Develop platform and framework enhancements, capacity planning, and features that improve team velocity.
  • Measure, monitor, and improve system availability, latency, and application health.
  • Collaborate with UX designers, product managers, AI/ML experts, research scientists, and partner institutions; mentor less-senior engineers.

Requirements

  • Bachelor’s degree and 8+ years of technical experience; relevant experience may substitute for education.
  • Professional web development experience with JavaScript, HTML, and CSS.
  • Strong Python engineering skills and proficiency with frontend frameworks such as React.
  • Experience with AWS, Google Cloud, or similar cloud platforms.
  • Experience with analytics and observability tools such as Heap or Datadog.
  • Experience integrating AI capabilities into applications, including prompt engineering, memory management, agent workflows, and external tool integrations.

Culture & Benefits

  • Collaborative, transparent, and inclusive research and engineering environment.
  • Learning opportunities through Ai2 Academy lectures, guest experts, and ongoing education support.
  • Medical, dental, vision, employee assistance, HSA, HRA, and healthcare and dependent-care FSA plans.
  • 401(k), annual bonuses, and participation in a long-term incentive plan.
  • Paid vacation, sick leave, personal days, holidays, and family leave.
  • Monthly commuting or internet support and fitness and wellbeing benefits.

Hiring process

  • Employment authorization is verified through the U.S. Form I-9 and E-Verify process after accepting an offer.

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