PhD. Co-op AI Research / Generative AI Engineer Orlando, FL January 2026

Koninklijke Philips N.V•Orlando, FL

2d•$29 - $45•Onsite

About The Position

Are you interested in a PhD. COOP opportunity with Philips? We wee individuals who are currently pursuing a PhD. to participate in 6 month paid COOP opportunities at our site in Orlando. Through this role you will join MRPC at the forefront of medical device innovation, building a next-generation platform to integrate advanced AI into our core engineering workflows. We are seeking a highly motivated and talented AI Research Intern or Co-op, currently pursuing a PhD. This is a unique opportunity to bridge the gap between state-of-the-art academic research and real-world industrial application. You will go beyond simple RAG applications to architect and build a collaborative multi-agent system w intelligent agents work together to solveplex engineering problems. You will play a pivotal role in designing and prototyping the coreponents of this agentic platform, tackling high impact use cases and contributing to a project with the potential to significantly enhance product development efficiency and safety in the medical device industry.

Requirements

The ideal candidate is enrolled in a PhD program in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related technical field.
Demonstrated experience in Natural Language Processing (NLP) and hands-on expertise with Large Language Models (LLMs) and transformer architectures.
Strong programming skills in Python and experience withmon ML/NLP libraries (e.g., PyTorch, TensorFlow, Hugging Face, scikit-learn).
Solid theoretical understanding and practical experience in designing and building RAG pipelines, including knowledge of vector databases (e.g., Qdrant, Pinecone, FAISS) and embedding models.
Familiarity with cloudputing platforms (Microsoft Azure is a strong plus) and their associated AI/ML services.
You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without amodation for this position.
US work authorization is a precondition of employment. Thepany will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.
For this position, you must reside in or withinmuting distance to Orlando, FL

Responsibilities

Design and Prototype Novel Generative AI Solutions: Take a leading role in the research, design, and implementation of proof-of-concept (PoC) and prototype applications for key systems engineering use cases,
Leverage our Modern AI Platform: Work hands-on with our purpose-built AI stack, including: Interacting with and extending the Open-WebUI API gateway.
Utilizing Azure OpenAI models (GPT-4o, text-embedding-3-large) via our LiteLLM proxy.
Building solutions on top of our Qdrant vector database, designed for terabyte-scale knowledge bases.
Deploying and managing services within a Docker containerized environment.
Advance the State-of-the-Art in RAG and Agentic Applications: Investigate and cutting-edge techniques in Retrieval-Augmented Generation (RAG), including advanced chunking strategies, re-ranking algorithms, and prompt engineering to optimize performance forplex technical and regulatory documents.
define “What's Next”: Design and build Agents that can takeplex product development objectives, plan and execute to achieve them using a ReAct framework and tools including our RAG API. Contribute to the architecture definition for an MCP server and client tools and UI that allows for a scalable approach to implementing multi-step engineering tasks. design and implement the core an Agent Coordinator responsible for task dposition, planning, and executing multi-step workflows using advanced reasoning.
Collaborate and Communicate Findings: Work closely with senior systems engineers and subject matter experts to understand workflow challenges. Present your findings, demo your prototypes, and contribute to the team's strategic direction. T may be opportunities to publish or present your work.

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