Field Application Engineer Internship (AI Automation & Industrial Application)
Posted 16 days ago
Job Description
Position Overview
We are seeking a motivated and proactive intern to join our FAE/RD team, focusing on explore how AI techniques can improve engineering workflows and industrial automation.
This is a hands-on role where you will work on real AI projects that help engineers work smarter and faster. You’ll build practical tools, learn by doing, and get guidance from experienced engineers. We especially support students who want to learn about industrial products while applying AI — no need to already know everything
Key Responsibilities
- Explore and build AI tools to automate everyday engineering work (for example: AI assistants for questions, document help, and task automation)
- Help create and maintain automated testing platforms
- Work on LLM-based applications like chatbots and internal knowledge systems
- Document your work and share what you learn with the team
Qualifications
- Background in Electrical Engineering, Automation Engineering, Computer Science, or related fields
- Familiarity with industrial automation products is a plus: (e.g., PLC, HMI, VFD, Servo Drive)
- Basic programming skills in Python
- Interest in API integration and automation workflows
- Familiar with or interested in LLM tools (e.g., ChatGPT, OpenAI API)
- Basic understanding of RAG (Retrieval-Augmented Generation) concepts
- Strong interest in chatbot development or document-based AI applications
- Self-motivated, willing to learn, and capable of working independently
Additional Information
What You Will Gain
- Industrial know-how: Get familiar with real products like PLCs, HMIs, VFDs, and servo drives
- Hands-on AI experience: Learn to create AI agents, RAG systems, chatbots, and automation scripts Practical experience in building AI agents and automation tools
- Mentorship & support: Work closely with experienced FAE and RD engineers who will guide you Opportunity to contribute to innovative digital transformation initiatives
- Strong portfolio: Finish with projects you can show in future applications or interviews
- Growth environment: A team that values learning, asking questions, and trying new things
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Key team members
Roman Fahringer
Nabil Shaker
Amdi Kirkgaard
Marco Liotta
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