Agentic AI Analytics Co-op

Join a multidisciplinary team developing AI-powered engineering tools for medical device development. This role focuses on transforming complex engineering information into structured knowledge that can be queried, analyzed, and reasoned about using modern AI techniques. The selected intern will assist in developing next gen tools and process to accelerate SW development in the Home HD Embedded SW group. The role will report to the Sr Manager Application Development, Home Hemodialysis. The intern will work collaboratively with several cross-functional departments including Digital Solutions, Systems Engineering, Software Test, and SQA as part of this role. ## Responsibilities - Process and organize engineering documentation, including product requirements, software requirements, test plans, verification reports, and related design-control artifacts. - Assist in developing AI-driven systems that enable engineers to ask natural-language questions about product functionality, requirements, verification activities, and traceability. - Work with engineering and AI teams to construct structured representations of software systems from development artifacts. - Help integrate software-derived knowledge with design documentation to create a unified engineering knowledge base. - Support development of retrieval, search, analytics, and agentic AI capabilities that connect software implementation details with requirements, testing, and system design information. - Collaborate with software, systems, and AI engineers to improve access to technical knowledge across the product lifecycle. ## Education & Qualifications - Candidate for Bachelor's or Master's in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related technical field. - A background or strong interest in Cognitive Science/Psychology, given the empathetic persona development focus. - LLM Fundamentals: Solid understanding of Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG). - Programming: Proficiency in Python (specifically libraries like Pandas, NumPy, or frameworks like LangChain / LlamaIndex / LangGraph). - Data Management: Experience organizing unstructured data and working with Knowledge Bases or Vector DBs (ChromaDB, FAISS, etc.). - QA: Familiarity with software testing methodologies; experience testing AI outputs for bias or hallucination is highly desirable. - Demonstrated ability to conduct self-driven research, and eagerness to learn new tools and methods quickly. - Experience with Microsoft Azure, AWS or other cloud platforms, at least familiarity is needed. - Entry level knowledge of Dialysis industry helpful, but not required. - Energetic, curious, learner/growth/problem solver mindset, positive attitude, and enjoys working in teams.