5 дней назад
Engineering Intern - Agentic AI Domain (AI)
700€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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