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8 часов назад

Senior Fullstack AI Engineer (AI)

Формат работы
remote (только United_states/Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Argentina/Mexico +3 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Fullstack AI Engineer (AI): Designing, building, and scaling production-grade generative AI applications with an accent on end-to-end product delivery and system architecture. Focus on integrating LLMs into production workflows, optimizing prompt flows, and ensuring long-term maintainability of scalable backend and frontend services.

Location: Remote (Must be based in Canada, United States, Brazil, Colombia, Argentina, or Mexico)

What you will do

  • Build end-to-end applications that incorporate generative AI capabilities into real user workflows.
  • Develop scalable backend services, APIs, and integrations using modern engineering practices.
  • Create responsive and maintainable frontend experiences using modern frameworks.
  • Design modular system architectures that support scalability, reliability, and long-term maintainability.
  • Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring.
  • Own features from ideation through development, testing, deployment, and iteration.

Requirements

  • Strong full stack engineering experience, ideally 5+ years.
  • Proficiency in backend development with technologies such as Node.js or Python.
  • Strong frontend experience with frameworks such as React or comparable modern tools.
  • Hands-on experience integrating generative AI into production applications.
  • Practical understanding of prompt engineering and AI system limitations, including failure modes.
  • Must be based in Canada, United States, Brazil, Colombia, Argentina, or Mexico.

Culture & Benefits

  • High ownership across architecture, implementation, and delivery.
  • Opportunity to build impactful AI-powered products used in real production environments.
  • Fast-paced environment with a strong emphasis on execution and practical outcomes.
  • Meaningful work at the intersection of full stack engineering and applied AI.

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