Generative AI Engineer Intern — NLP, RAG & Health

Philips; Eindhoven; On-site; EUR 5,600 - 7,800; Full time

Benefits offered by this job

Monthly allowance €500-€700 gross

Housing compensation

Travel compensation

Paid holidays

Philips product discounts

Job summary

Philips in Eindhoven is offering an Internship: Generative AI Engineer. You will design and build NLP and ML solutions, focusing on ethical and real-world healthcare problems, balancing technical feasibility with user needs and business impact.

The role requires pursuing a Bachelor's or Master’s in CS/EE, at least one year of hands-on NLP/ML experience, strong Python skills, and familiarity with cloud platforms.

Qualifications

• Pursuing Bachelor or Master in CS/EE or related field.
• Hands-on NLP/ML experience during studies (internship/project).
• Proficient in Python and data ecosystem (Pandas, NumPy).
• Familiar with SQL databases and GenAI frameworks (LangChain, OpenAI).
• Knowledge of NLP fundamentals and LLM applications (RAG, prompting, fine-tuning).
• Awareness of cloud platforms and collaborative work style.

Responsibilities

• Design, train, and evaluate NLP/LLM solutions including retrieval-augmented generation, information retrieval, chatbots, extraction, NER, generation, and summarization.
• Clean, preprocess, and curate data for evaluation, fine-tuning, and training.
• Collaborate with stakeholders to understand business needs and deliver data-driven insights.
• Keep up-to-date with Generative AI research and integrate new techniques.

Skills

Python

Pandas

NumPy

PostgreSQL

MySQL

SQL Server

LLMs

RAG

prompt engineering

data synthesis

automatic evaluation

fine-tuning

cloud computing

Education

Bachelor's or Master's in Computer Science or Electrical Engineering

Tools

LangChain

Semantic Kernel

OpenAI APIs

Job description

Philips in Eindhoven is offering an Internship: Generative AI Engineer. You will design and build NLP and ML solutions, focusing on ethical and real-world healthcare problems, balancing technical feasibility with user needs and business impact.

The role requires pursuing a Bachelor's or Master’s in CS/EE, at least one year of hands-on NLP/ML experience, strong Python skills, and familiarity with cloud platforms.