> Markdown version of [/jobs/ext/2040191-data-scientist-agentic-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2040191-data-scientist-agentic-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - Agentic AI Engineer - **Company:** Koninklijke Philips N.V. - **Location:** Eindhoven, Netherlands - **Experience:** Experienced - **Salary:** €5,099.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Extraction, Information Retrieval, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, NumPy, Tensorflow, Cloud Platform System, Chatbots, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, Pandas, Information Technology, Machine Learning Operations, Virtual Agents, Synthesizing Data, Automation Anywhere - **Published:** August 13, 2026 - **Apply:** https://www.adzuna.nl/details/5838488793 ## About the Role * You hold a master's or Ph.D. in Computer Science, Data Science, or a related field * You have at least three years hands-on experience developing AI/ML systems, with significant experience in LLMs, Generative AI, or AI agents in a professional or enterprise environment * You are proficient in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch) * You have a strong understanding of classic NLP and LLM-based approaches and hands-on experience with LLM-based architecture, such as RAG, prompt engineering, data synthesis, automatic evaluation, fine-tuning and agent frameworks * Hands-on experience building and then iteratively refining model pipelines end-to-end, from data curation to evaluation * Familiar with cloud computing platforms * Experience with at least one GenAI platform (OpenAI, Claude, Mistral etc.). * Excellent communication skills and a collaborative mindset are essential * Strong analytical and problem-solving skills, with attention to detail, round out your profile ## Description We're seeking with strong expertise in Agentic AI, Generative AI and Machine Learning Engineering to join our team. In this role, you will design and build innovative and ethically responsible Agentic AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact. Working at the intersection of natural language processing and machine learning, you will contribute to developing AI solutions that directly impact patient outcomes and Philips' growth in the healthcare sector. Your role: * Design, develop, and deploy agentic AI systems and autonomous AI workflows using large language models and advanced reasoning architectures * Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction and named entity recognition, text generation, summarization, and more * Clean, preprocess, and curate data for evaluation, fine-tuning, and training * Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights * Keep up the latest advancements in generative AI research and integrate new techniques into the development process ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [How to implement convenient Python bindings to C++](https://www.wearedevelopers.com/videos/618-how-to-implement-convenient-python-bindings-to-c) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)