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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

9Open Positions

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SAP iXp Intern - SAP Customer Support AI Automation Engineer

SAP
Found 1 week ago
Location
Madrid, Spain
Time
Part-time
Work Mode
Hybrid
Salary
paid internship
Visa Help
Not disclosed
Last Verified
1 week ago

Education

  • Bachelor

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • APIs
  • JSON
  • AI tools
  • Claude
  • GPT
  • prompt engineering
  • n8n

Soft Skills

  • analytical mindset
  • problem-solving
  • proactive attitude
  • willingness to experiment
  • learn quickly
  • communication skills
  • collaborative environment

Job Description

In this role, you will design and implement AI-driven automation solutions to improve the efficiency and effectiveness of Product Owners, Project Managers, Development Managers, and Scrum Masters. You will: * Build automated workflows using tools such as n8n to streamline processes like reporting, ticket handling, and communication flows * Develop and optimize prompts for AI tools (e.g., Claude) to automate tasks such as meeting summaries, backlog refinement suggestions, and status reporting * Create Python-based scripts to integrate systems, process data, and support automation pipelines * Connect enterprise tools (e.g., Jira, ServiceNow, collaboration platforms) through APIs into intelligent workflows * Deliver reusable automation assets (prompt libraries, workflows, scripts) that can be adopted across teams Your work will directly impact productivity by reducing manual effort and enabling faster, data-driven decision-making.

Requirements

  • Currently enrolled in a degree in Computer Science, Engineering, Data Science, or a related field
  • Strong programming skills in Python and solid understanding of SQL
  • Familiarity with APIs, data formats (JSON), and system integrations
  • Interest or experience in AI tools (e.g., Claude, GPT) and prompt engineering
  • Analytical mindset with strong problem-solving capabilities
  • Proactive attitude with a willingness to experiment and learn quickly
  • Strong communication skills and ability to work in a collaborative environment

Related Field

  • AI & Machine Learning

Related Subfield

  • Applied Machine Learning

Languages

  • English
▶Apply Now

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