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[Bosch R&D - Internship] AI Agent Building Intern

Bosch Group · An Khanh Ward, Ho Chi Minh City, Vietnam

About Bosch Group

1,579 open jobs
  • Software & SaaS
  • 10,001+ employees
  • Gerlingen-Schillerhöhe, Baden-Wuerttemberg

Strong hiring record · median 38 days open

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Open 89 days · How we score

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[Bosch R&D - Internship] AI Agent Building Intern at Bosch Group. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

  • Support the development of AI Agents for Engineering use cases using Microsoft Copilot Studio, Python, and LangChain framework.
  • Understand core components of AI Agent architecture, including prompt design, tool integration, memory management, orchestration, and evaluation of responses.
  • Design and implement data ingestion pipelines, connecting to enterprise data sources (e.g., SharePoint, databases, APIs) to enable intelligent retrieval and summarization.
  • Support the development of agent workflows for engineering processes (e.g., document analysis, test report summarization, problem-solving support such as 8D).
  • Assist in building and integrating AI capabilities into existing platforms (e.g., Microsoft ecosystem: Azure, Power Platform, DevOps).
  • Conduct testing, evaluation, and performance measurement of AI agents (accuracy, latency, completeness of answers), and document results.
  • Collaborate with product owners, engineers, and data experts to continuously improve agent capabilities and usability.
  • Undergraduate student majoring in Computer Science, Software Engineering, Data Engineering, AI/ML, or related fields.
  • Strong background in programming and computational problem solving (preferably Python).
  • Basic understanding or experience (academic projects acceptable) in AI/ML, NLP, or chatbot/agent development.
  • Familiarity with Python frameworks (e.g., LangChain), REST APIs, or Microsoft platforms (Power Platform, Azure) is a plus.
  • Strong interest in AI Agent technologies, Generative AI, and applied engineering use cases.
  • Willingness to learn new technologies, proactive mindset, and ability to work independently with minimal guidance.
  • Good communication skills in English and ability to work in an international team environment.
  • A learning-driven, professional, inclusive multinational work environment fosters personal growth and expands professional networks.
  • An attractive monthly allowance.
  • Hands-on experience in an advanced engineering simulation and product development field.
  • Opportunity to apply technical knowledge skills in a real work.
  • Collaboration with experienced engineers and professionals.

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