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  <jobs>
    <job>
      <externalid>88ca2869-81e</externalid>
      <Title>Praktikant (m/w/d) Agentic AI for Quality Data Analysis</Title>
      <Description><![CDATA[<p>You will work on the architecture and implementation of Agentic Tool Use for semantic analysis within engineering tasks. You will support the conception and design of KI-Agent workflows to improve engineering processes. You will support the conception and implementation of modular agents for data analysis tasks. Together with the team, you will develop function-/domain-crossing teams to optimize KI-supported engineering workflows.</p>
<p>You will study currently Informatik, Künstliche Intelligenz, Elektrotechnik, Physik, Maschinenbau or a comparable study program. You will bring practical experience in Python and AI/ML frameworks. You will have experience with LLMs, AI-agents, semantic analysis and techniques of natural language processing. First Full-Stack experience is an advantage. You will have a good understanding of technical data types and engineering workflows. Familiarity with containerization like Docker is an advantage. You will be able to express yourself in English, good to very good.</p>
<p>You will have a strong analytical and conceptual ability, especially when designing and implementing decision algorithms for data analysis.</p>
<p>You will have a valid matriculation at a university or be in a GAP year. You will start in March 2026 and work for 6 months. You will work 35 hours a week. You will need a valid residence permit with work permit.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>entry</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Python, AI/ML frameworks, LLMs, AI-agents, semantic analysis, natural language processing, containerization, Docker, Full-Stack experience, technical data types, engineering workflows</Skills>
      <Category>Engineering</Category>
      <Industry>Automotive</Industry>
      <Employername>Porsche Engineering Services GmbH</Employername>
      <Employerlogo>https://logos.yubhub.co/jobs.porsche.com.png</Employerlogo>
      <Employerdescription>Porsche Engineering Services GmbH is a leading engineering services provider in the automotive industry, with over 2000 employees worldwide.</Employerdescription>
      <Employerwebsite>https://jobs.porsche.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.porsche.com/index.php?ac=jobad&amp;id=19819</Applyto>
      <Location>Mönsheim</Location>
      <Country></Country>
      <Postedate>2026-03-09</Postedate>
    </job>
  </jobs>
</source>