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3 часа назад

AI Automation Engineer Intern (AI)

Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Automation Engineer Intern (AI): Building AI applications, APIs, and robotic process automation solutions with an accent on large language models, agentic workflows, and business-process automation. Focus on integrating RPA bots with AI applications, databases, and third-party systems while testing, debugging, and optimizing automation workflows.

Company

hirify.global is an automotive technology and electronics company developing sensor solutions, vehicle software, architecture platforms, displays, braking and comfort systems, and driver-assistance technologies.

What you will do

  • Develop AI and software applications and the APIs required to support them.
  • Analyze business processes and identify opportunities for automation.
  • Develop and integrate RPA bots with AI applications, APIs, databases, and third-party systems.
  • Test, debug, and optimize AI applications and automation workflows.
  • Contribute to R&D innovation projects and research activities.

Requirements

  • Comfortable with at least one programming language such as Python, JavaScript with Node, or Java.
  • Basic awareness of AI and large language models and their real-world applications.
  • Interest in modern AI approaches, including tool use, information retrieval, and step-by-step task solving.
  • Basic understanding of APIs, HTTP or REST, and how web applications communicate.
  • Strong willingness to learn, problem-solving ability, and capacity to work independently with mentor guidance.

Nice to have

  • Exposure to Docker, cloud platforms, or Databricks through coursework, projects, or internships.
  • Familiarity with UiPath or Microsoft Power Automate.

Culture & Benefits

  • Hands-on experience within an R&D innovation team.
  • Opportunities to work on research and innovative system solutions.
  • Mentorship and practical learning through real-world development projects.
  • Exposure to mobility technologies and software-defined vehicle systems.

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