Agentic AI Engineer Intern

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Job Summary
As an Intern within NetApp IT, you will work closely with a team that supports and enhances NetApp's Customer Support Digital applications and systems. You will be provided with a short-term project to complete during your internship building agentic AI solutions for customer support managers. To ensure success, you will be paired with a mentor who will guide and assist you throughout the duration of the internship. Our intern work differs depending on the team and project work, but some potential areas of focus and skill sets are listed in the requirements below.
Job Requirements
IT Systems:
• Excellent oral and written communication skills
• Ability to work collaboratively with cross-functional and technical team members to meet deadlines.
• Ability to work independently.
• Strong aptitude for learning AI technologies and understanding how to utilize these in a customer-facing environment.
• Sense of urgency and determination to complete work.
AI/ML:
• Working Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.
• Working knowledge of one or more programming languages like Python, Java, React.js etc.
• Knowledge and application of concepts important to Machine Learning Frameworks: PyTorch, TensorFlow, Open AI, LLMs (Open Source) etc.
• Participate in technical discussions within the team and across cross-functional teams.
• Willing to work on additional tasks and responsibilities that will contribute towards team, department and company goals.
Education
Must be enrolled in an educational or professional program through summer 2026 or later.
Compensation:
Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.
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