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5 часов назад

Senior AI Engineer (GCP)

Формат работы
remote (только Brazil)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
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 AI Engineer (GCP): Developing AI pipelines and leading feature development for an insurance compliance platform with an accent on end-to-end AI deployment, evaluation pipelines, and infrastructure management. Focus on architecting scalable solutions, maintaining platform stability, and shaping the engineering culture for a new product offering.

Location: Must be based in Brazil

Company

hirify.global is an ecosystem connecting talented Brazilian professionals with growing companies in the US.

What you will do

  • Design and deploy AI/ML solutions to solve real-world business problems.
  • Manage the full deployment lifecycle, ensuring platform stability, scalability, and observability.
  • Write high-quality, efficient code and participate in rigorous code reviews.
  • Translate business requirements into robust technical specifications.
  • Collaborate with cross-functional stakeholders to drive project success.
  • Architect and evolve the technology stack while anticipating future scaling challenges.

Requirements

  • 7+ years of experience as an AI engineer, including at least 2 years in a senior role.
  • Proven experience deploying end-to-end AI solutions to customers.
  • Proficiency with LangGraph and creating/maintaining evaluation pipelines.
  • Experience with document processing, OCR tools, and relational databases like PostgreSQL or MySQL.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Strong written and verbal communication skills in English.

Culture & Benefits

  • Opportunity to work within a highly-vetted community of growing US companies.
  • Dynamic, fast-paced environment that values a growth mindset and continuous learning.
  • Collaborative culture that prioritizes clear communication and ego-free teamwork.
  • Autonomy to work with minimal supervision in a remote-first setup.

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