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5 дней назад

Engineering Intern - Agentic AI Domain (AI)

700€
Формат работы
hybrid
Тип работы
parttime
Грейд
trainee
Английский
b2
Страна
Netherlands/Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Engineering Intern - Agentic AI Domain (AI): Building standardized repository tooling and metrics frameworks for Agentic AI projects with an accent on Python-based engineering, CI/CD, GCP deployment, and BigQuery observability. Focus on scaffolding consistent agentic repositories, instrumenting agent performance, and extending frameworks with integrations, infrastructure, testing, and evaluation capabilities.

Location: CDR (Amsterdam - Cedar), hybrid working. During the internship, enrollment at a Dutch university is mandatory, or at an EU university for EU passport holders.

Internship allowance: 700 EUR based on a 36-hour work week.

Company

hirify.global supports ING’s data-driven banking activities through Data and Analytics solutions and a large Analytics Engineering Center of Excellence.

What you will do

  • Design and build a repository standardization framework and scaffolding tools for Agentic AI projects.
  • Research existing team workflows and implement consistent repository structures, standards, and pre-commit hooks.
  • Develop CI/CD pipelines for linting, formatting, testing, and deployment to ING’s GCP platform.
  • Design and implement a standardized metrics collection and reporting package for agentic AI projects, including BigQuery instrumentation and visualization.
  • Work as an AI engineer in an agentic AI initiative and contribute to demos, knowledge-sharing sessions, and chapter meetings.

Requirements

  • Currently pursuing a degree in Computer Science, Artificial Intelligence, Mathematics, or a related field.
  • Strong analytical and quantitative skills.
  • Basic knowledge of Python programming and an interest in data and AI engineering.
  • Excellent communication skills, attention to detail, and the ability to work in a fast-paced, team-oriented environment.
  • Enrollment at a Dutch university is required, or at an EU university for EU passport holders.

Culture & Benefits

  • Collaborative, international, cross-functional, and Agile working environment.
  • Hands-on experience in data and AI engineering within a global analytics department.
  • Exposure to senior professionals and industry leaders.
  • Introduction to data engineering concepts and current GCP technologies.
  • Hybrid work combining home working for focus with office work for collaboration and co-creation.
  • Work laptop, personal growth opportunities, and an informal environment with innovative colleagues.

Hiring process

  • Submit a CV and motivation letter through the application process.

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