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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

22Open Positions

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Intern / Working Student – AI Engineering & Automation (m/f/d)

OMMAX
Found 4 weeks ago
Location
Munich, Germany
Duration (Months)
3 Months
Time
Not disclosed
Work Mode
Hybrid
Salary
attractive salary packages
Visa Help
Not disclosed
Last Verified
4 weeks ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • Python
  • LLM frameworks
  • automation tools
  • prompt engineering
  • API integrations
  • data handling
  • automated reporting pipelines
  • LLMs
  • NLP concepts

Soft Skills

  • hands-on
  • experimental mindset
  • structured
  • reliable
  • outcome-oriented
  • curious
  • communicative
  • strong team player
  • comfortable collaborating across disciplines

Job Description

You support the AI CoE in developing, testing, and deploying AI-based automation solutions and workflows for client and internal use cases. You contribute to building prototypes and proofs of concept (PoCs) using Python, LLM frameworks (e.g. LangChain), and automation tools (e.g. Make, n8n, Flowise). You assist with prompt engineering, API integrations, data handling, and automated reporting pipelines. You collaborate with consultants and data engineers to operationalize AI use cases and streamline knowledge across the organization. You document architectures, key decisions, and results, preparing concise demos and presentations that clearly communicate impact. You bring a hands-on, experimental mindset, eager to test ideas and iterate fast from concept to working prototype.

Requirements

  • You are currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or another technical discipline with strong academic results.
  • You have solid programming skills in Python and first experience with APIs or automation frameworks.
  • You are familiar with LLMs or NLP concepts and excited about applying AI to real business challenges.
  • You work structured, reliable, and outcome-oriented, translating technical ideas into tangible results.
  • You are curious, communicative, and a strong team player, comfortable collaborating across disciplines.
  • You are fluent in English; additional local language skills are a plus.

Related Field

  • AI & Machine Learning

Related Subfield

  • Natural Language Processing (NLP)

Languages

  • English

Nice to Haves

  • additional local language skills
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