R&D Engineer Internship – Integration of Artificial Intelligence in the Design of Medical Applications

Summary

This role involves integrating generative AI technologies (Copilot, ChatGPT, Windsurf, etc.) into system engineering processes to assist engineers in creating innovative medical applications, particularly for remote patient monitoring. The intern will explore and implement LLM solutions, automate technical document review, generate requirements, ensure traceability with regulatory standards, and connect engineering tools to AI solutions. The role also includes evaluating AI’s impact on medical device development and proposing innovative use cases.

Must Have

• Last year engineering school or Master’s student, specializing in AI, IT, software engineering, or general engineering.
• Knowledge of software development (Python, REST API, Git).
• Strong interest in generative AI, LLMs, and their industrial applications.

Good To Have

• Sensitivity to regulatory issues (medical devices, cybersecurity) is a plus.
• Excellent level of spoken and written English.

Contribute to the digital transformation of medical devices by exploring and integrating Artificial Intelligence (LLM) solutions into system engineering processes. Your role: In this role, you will participate in the integration of generative AI technologies (Copilot, ChatGPT, Windsurf, etc.), already used at Philips, to assist engineers in creating innovative medical applications, particularly for remote patient monitoring. You will be part of the Systems Engineering team, within R&D Acute Care Informatics, which is involved from the first product concepts to the market launch of software solutions for monitoring hospital and home patients. Your main missions:

• Explore and integrate LLM solutions into system engineering workflows.

• Automate the review of technical documents (design inputs, architecture, risk analysis, etc.) via AI.

• Generate requirements from preliminary documents (use cases, clinical needs, standards).

• Ensure traceability of requirements with regulatory standards (MDR, ISO 14971, IEC 62304, IEC 81001-5-1…).

• Connect engineering tools (GitHub, Azure DevOps, Polarion) to AI solutions to facilitate collaboration and documentation.

• Evaluate the impact of AI on the development of medical devices.

• Propose innovative use cases for AI in the product lifecycle: design, verification, risk management, cybersecurity.

• Document implemented solutions and write guides for R&D teams.

At Philips, you will develop your skills in AI, system engineering, and medical regulation, in a collaborative international environment. You’re the right fit if:

• You are a final year engineering school or Master’s student, specializing in AI, computer science, software engineering, or general engineering.

• You have knowledge of software development (Python, REST API, Git).

• You have a strong interest in generative AI, LLMs, and their industrial applications.

• Sensitivity to regulatory issues (medical devices, cybersecurity) is a plus, as well as an excellent level of spoken and written English.