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7 часов назад

Python Engineer (AI)

Формат работы
remote/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina/Mexico/Colombia +1 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

Python Engineer (AI): Building and integrating AI-driven solutions and data-driven systems with an accent on LLM integration, automation, and scalable data pipelines. Focus on designing robust Python-based applications and optimizing AI workflows for real-world production environments.

Location: Must be based in Brazil, Mexico, Argentina, or Colombia (onsite/remote hybrid options available in specified cities).

Company

hirify.global is a technology services company building a talent pool for high-impact AI and machine learning projects across various industries.

What you will do

  • Design and develop Python-based applications for AI and ML-driven solutions.
  • Build and integrate AI-powered features including LLMs, automation, and data pipelines.
  • Work with structured and unstructured data to generate actionable insights.
  • Collaborate with product and engineering teams to deliver scalable software solutions.
  • Optimize models, workflows, and overall system performance.
  • Stay current with evolving AI tools, frameworks, and industry best practices.

Requirements

  • 5+ years of experience working with Python in production environments.
  • Hands-on experience with AI/ML frameworks or tools.
  • Proven experience with data processing, pipelines, or model integration.
  • Experience integrating or working with LLMs such as OpenAI or Anthropic.
  • Strong problem-solving skills and the ability to work independently.
  • Experience using AI tools within development workflows.

Nice to have

  • Experience with TensorFlow, PyTorch, or Scikit-learn.
  • Experience with RAG pipelines, agents, or automation workflows.
  • Experience with cloud environments like AWS, GCP, or Azure.
  • Experience working with APIs and backend systems.
  • Experience in startup or fast-paced environments.

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