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2 дня назад

AI Engineering Intern (AI)

45$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
trainee
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
AI Engineering Intern (AI/LLMs): Building proof-of-concept AI agents and Retrieval-Augmented Generation pipelines for internal engineering workflows with an accent on automation, technical documentation, and security-minded data handling. Focus on developing intelligent workflows, experimenting with emerging AI coding and monitoring tools, and integrating LLMs into enterprise engineering operations.

Location: US-Remote

US base pay range: $45–$45 USD

Company

hirify.global provides identity verification and deepfake detection across voice, video, and digital interactions to help enterprises reduce fraud and protect high-risk customer communications.

What you will do

  • Build proof-of-concept AI agents for internal engineering workflows, including incident analysis and code review summaries.
  • Develop and optimize RAG pipelines for technical documentation and runbooks.
  • Identify operational bottlenecks and implement AI-driven improvements.
  • Evaluate and document emerging AI-assisted coding and monitoring tools.
  • Apply data hygiene and secrets management practices to automated workflows.

Requirements

  • Pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Knowledge of Python for automation and data processing.
  • Project experience or demonstrated interest in AI/ML, LLMs, and prompt engineering.
  • Familiarity with Git workflows.
  • Must be available for US-Remote work.

Nice to have

  • Experience building small ML pipelines or working with vector databases and RAG frameworks.
  • Foundational experience with AWS or GCP services such as Lambda, S3, or SageMaker.
  • Exposure to CI/CD or infrastructure-as-code tools such as GitHub Actions and Docker.

Culture & Benefits

  • Hands-on experience working with security, AI, and voice intelligence specialists.
  • Opportunity to build enterprise AI systems focused on fraud prevention and identity trust.
  • Work on technology supporting financial institutions, insurers, healthcare providers, and consumers.
  • Inclusive workplace with a commitment to diversity and equal opportunity.

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