Co-op – AI Research​/Generative AI Engineer – Orlando, FL – Summer

Position: Co-op – AI Research / Generative AI Engineer – Orlando, FL – Summer 2026
### Job Title Co-op – AI Research / Generative AI Engineer – Orlando, FL – Summer 2026###

Job Description
** Grad level Co-op – AI Research / Generative AI Engineer – Orlando, FL – Summer 2026
** 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:  + 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 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.
** You’re the right fit if
*** The preferred candidate is enrolled in a PhD program in Computer Science, Artificial Intelligence, Computational Linguistics, or a closely related technical field. (Will consider Master's level)
* 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, Tensor Flow, 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
** 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…