AI-Driven Field Applications Intern

Delta Energy Systems; Netherlands; Remote; EUR 8,900 - 11,000; Full time

Job summary

Delta Energy Systems seeks a motivated intern to explore how AI techniques can improve engineering workflows and industrial automation. You will work on hands-on AI projects, build practical tools, and receive guidance from experienced engineers.

The role focuses on AI-assisted engineering, LLM-based chatbots, and knowledge systems while supporting internal tooling. Ideal candidates are pursuing graduate degrees in EE/Automation/CS, with Python skills and interest in API integration and RAG

Qualifications

• Pursuing a graduate degree in Electrical Engineering, Automation Engineering, Computer Science, or related fields.
• Familiarity with industrial automation products (e.g. PLC, HMI, VFD, Servo Drive) is a plus.
• 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.
• You are enrolled at the university and available to come to the office for the whole duration of the internship (6 months).

Responsibilities

• Explore and build AI tools to automate everyday engineering work (e.g., 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

Skills

Python programming

LLM tools

Education

Graduate degree in Electrical Engineering/Automation/CS

Tools

ChatGPT

OpenAI API

Job description

Delta Energy Systems seeks a motivated intern to explore how AI techniques can improve engineering workflows and industrial automation. You will work on hands-on AI projects, build practical tools, and receive guidance from experienced engineers.

The role focuses on AI-assisted engineering, LLM-based chatbots, and knowledge systems while supporting internal tooling. Ideal candidates are pursuing graduate degrees in EE/Automation/CS, with Python skills and interest in API integration and RAG