Agentic AI Analytics Co-op
- Location
- Lawrence, MA
- Listed
- Today
About the role
INVENT. IMPROVE. INSPIRE.
Fresenius Medical Care is not your typical medical products company. We are a close-knit team of talented professionals driven by a shared commitment: to lead a movement to dramatically improve renal care with innovative yet simple therapeutic solutions that benefit patients, caregivers, and society.
We pursue this goal through a passionate commitment to Innovate, Educate, and Advocate for the breakthroughs that are redefining renal care. Additionally, Fresenius Medical Care works in community with its customers, patients, industry partners, and government leaders and agencies to realize the vision of better, simpler, more accessible renal care.
Position Summary
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
Equal opportunity and legal notices
Fresenius Medical Care is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sexual orientation, gender identity, parental status, national origin, age, disability, military service, or other non-merit-based factors
From Fresenius Medical Care's careers page, first listed on Rolev.ai on November 13, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
Rolev.ai is a job search and application tool for US job seekers. For this Agentic AI Analytics Co-op role at Fresenius Medical Care, it shows how your resume fits, tailors your resume to the posting, and prepares the application for you to review.
See how you fit
Openings from employer career sites are ranked against your whole resume—and searchable inside Claude, ChatGPT, and Cursor via Rolev.ai MCP.
Tailor without inventing
Every change to your resume is checked against your original. New experience goes in only with your yes—zero fabricated claims.
Draft the full kit
Tailored and Full Match resumes, role-specific cover letters, and answers to employer screening questions are prepared in seconds.
1-Click Extension Autofill
The Chrome extension fills the employer's Greenhouse, Workday, Lever, or Ashby form in 1 click. You review it and press Submit.
Similar roles
- Agentic AI EngineerBah · McLean, VA
- Agentic AI Architect-Anthropic-US WestNewrocket · Remote (US)
- Agentic AI Systems Evaluation EngineerHp · Houston, TX
- Agentic AI Project Experience Program - RemoteSapsol Technologies Inc. · Remote, Oregon
- Agentic AI ArchitectTiger Analytics Inc. · Remote (US)
- Agentic AI EngineerMango · United States
Common questions
Where is the Agentic AI Analytics Co-op job at Fresenius Medical Care located?
This Agentic AI Analytics Co-op position at Fresenius Medical Care is located in Lawrence, MA. Always check Fresenius Medical Care's application page for specific state eligibility or relocation policies.
How do I apply for the Agentic AI Analytics Co-op position at Fresenius Medical Care?
This listing links directly to Fresenius Medical Care's Workday application page. You can apply directly on Fresenius Medical Care's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Workday application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.