Internship – Generative AI for Technical System Generation (m/f)

Phoenix Contact; Województwo wielkopolskie; Hybrid; PLN 28,000 - 39,000; Full time

Benefits offered by this job

6-month paid internship

Hybrid work environment

Flexible working hours

Mentorship from experienced developers

Hands-on project experience

State of the art hardware

Job summary

Phoenix Contact Poland is offering a 6-month paid internship in AI engineering with a focus on retrieval-augmented generation and prompt engineering. You will work hybrid, gaining hands-on experience with real-world projects and mentorship from seasoned developers.

The role emphasizes Python development, collaboration, and familiarity with LLM concepts as you contribute to cutting-edge AI pipelines and research prototypes.

Qualifications

• Bachelor's (final year) or Master's student in Computer Science, AI, Data Science, or a related field.
• Strong programming skills in Python.
• Familiarity with Large Language Models (LLMs) and Generative AI concepts.
• Experience with Git and collaborative software development.
• Interest in Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents.
• Independent, structured, and proactive way of working.
• CV in English.

Responsibilities

• Develop and improve a retrieval system for technical product data (RAG)
• Implement evaluation methods for GenAI system performance and output quality
• Design and optimize prompts for LLM-based workflows (Prompt Engineering)
• Build and prototype agentic AI systems for complex engineering tasks
• Support the development of Python-based AI pipelines and research prototypes

Skills

Python programming

LLMs & Generative AI

Git & collaboration

RAG & Prompt Engineering

Independent working

English CV

Education

Bachelor's (final year) or Master's student in Computer Science, AI, Data Science, or a related field

Tools

Git

Job description

• Develop and improve a retrieval system for technical product data (RAG)


• Implement evaluation methods for GenAI system performance and output quality


• Design and optimize prompts for LLM-based workflows (Prompt Engineering)


• Build and prototype agentic AI systems for complex engineering tasks


• Support the development of Python-based AI pipelines and research prototypes

Your responsibilities:

• Develop and improve a retrieval system for technical product data (RAG)


• Implement evaluation methods for GenAI system performance and output quality


• Design and optimize prompts for LLM-based workflows (Prompt Engineering)


• Build and prototype agentic AI systems for complex engineering tasks


• Support the development of Python-based AI pipelines and research prototypes

Required skills:

• Bachelor's (final year) or Master's student in Computer Science, AI, Data Science, or a related field


• Strong programming skills in Python


• Familiarity with Large Language Models (LLMs) and Generative AI concepts


• Experience with Git and collaborative software development


• Interest in Retrieval-Augmented Generation (RAG), prompt engineering, and AI agents


• Independent, structured, and proactive way of working


• CV in English

What we offer:

• 6-month paid internship with the possibility of extension or a permanent contract


• Hybrid work environment


• Flexible working hours, so you don't have to compromise on your university commitments


• Mentorship from experienced developers to gain professional experience


• Hands-on experience with real-world projects that go beyond university coursework


• State of the art hardware