Lawrence, MA, USA
Actively hiring, first seen by us 13 hours agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Job title: Agentic AI Analytics Co-op
Join a multidisciplinary team developing AI-powered engineering tools for medical device development.
The selected intern will assist in developing next gen tools and process to accelerate SW development in the Home HD Embedded SW group.
Organize product, software and test documentation for AI use
Help build AI systems that answer natural-language questions about products and tests
Construct structured representations of software systems from development artifacts
Merge software knowledge with design documentation into one knowledge base
Support retrieval, search and agentic AI features linking code, requirements and testing
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.
Process and organize engineering documentation, including product requirements, software requirements, test plans, verification reports
Assist in developing AI-driven systems that enable engineers to ask natural-language questions
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
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.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 4 and day 68.
At Fresenius Medical Care, jobs usually come down by about day 5.
From 49 similar postings that came down, and 24 of Fresenius Medical Care’s. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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)
- 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
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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:
Education & Qualifications:
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Lawrence, MA, USA
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