AI & Data Engineer Internship
Golden Goose · Venice
Golden Goose is a journey of love and authenticity, leading you to embrace your true self, where tradition and innovation merge into timeless, one-of-a-kind creations.
We are looking for an AI & Data Engineer Intern to join the ICT team in Venice (VE). The role focuses on developing AI agents to automate business processes, leveraging Python, Google Cloud Platform and enterprise data.
Key Responsibilities:
- Support the development and testing of AI agents and APIs using Python and LLM technologies.
- Assist in integrating enterprise data sources and maintaining data pipelines on BigQuery.
- Contribute to validating AI solutions to ensure output quality and reliability.
- Support the implementation of monitoring tools, metrics and dashboards to track agent performance.
Requirements:
- Master’s degree student or recent graduate in Computer Science, Artificial Intelligence, Data Science, Computer Engineering or related fields.
- Good knowledge of Python, REST APIs, SQL and Git.
- Basic understanding of machine learning and LLMs.
- Fluent Italian and good technical English.
- Curiosity and willingness to learn, problem-solving skills, proactive attitude, attention to detail, and ability to collaborate with the team and communicate technical concepts clearly
Nice to Have
- Familiarity with AI agent frameworks, Google Cloud Platform, RAG or vector databases.
- Knowledge of Docker, CI/CD and data pipelines.
- Personal or academic AI projects.
Offer:
- 6-month, full-time internship starting in November 2026.
- €700 monthly expense reimbursement
- Free breakfast, snacks, fruits, and lunch
We are an equal opportunity employer and passionately believe that our strength lies in people youniqueness. We encourage applications from individuals of all backgrounds, experiences and perspectives. Because people are at the heart of everything we do.
In alignment with our dedication to equity and the EU Pay Transparency Directive, we ensure a non-discriminatory recruitment process based on objective, gender-neutral criteria. We focus entirely on equal pay for work of equal value, and we strictly do not request salary history from our applicants.
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