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

Job Title

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

Job Description

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

Are you interested in a PhD. COOP opportunity with Philips? We welcome 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 where intelligent agents work together to solve complex engineering problems. You will play a pivotal role in designing and prototyping the core components 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.

Your Role

• 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:
• Advance the State-of-the-Art in RAG and Agentic Applications: Investigate and apply cutting-edge techniques in Retrieval-Augmented Generation (RAG), including advanced chunking strategies, re-ranking algorithms, and prompt engineering to optimize performance for complex technical and regulatory documents.
• Help define “What’s Next”:  Design and build Agents that can take complex 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. Help design and implement the core an Agent Coordinator responsible for task decomposition, 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. There may be opportunities to publish or present your work.
• 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.

You’re the right fit if

• 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 with common 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 cloud computing 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 accommodation for this position.

How we work together

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.

This is an office role.

About Philips

We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help improve the lives of others.

• Learn more about our business.
• Discover our rich and exciting history.
• Learn more about our purpose.
• Learn more about our culture.

Philips Transparency Details

The hourly pay range for this position is $29.00 to $45.00, plus overtime eligible. The actual base pay offered may vary within the posted ranges depending on multiple factors including job-related knowledge/skills, experience, business needs, geographical location, and internal equity.    

Details about our benefits can be found here. 

At Philips, it is not typical for an individual to be hired at or near the top end of the range for their role and compensation decisions are dependent upon the facts and circumstances of each case. 

Additional Information

US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Company relocation benefits will not be provided for this position.  For this position, you must reside in or within commuting distance to Orlando, FL

This requisition is expected to stay active for 45 days but may close earlier if a successful candidate is selected or business necessity dictates.  Interested candidates are encouraged to apply as soon as possible to ensure consideration.

Philips is an Equal Employment and Opportunity Employer including Disability/Vets and maintains a drug-free workplace.