Agentic AI Engineer Internships
Agentic ai engineer internships give university students, recent graduates, and early-career switchers hands-on project experience building autonomous AI systems, mentorship from working engineers, and, at many employers, a path toward a full-time offer. Openings are concentrated across Food & Beverage, with NVIDIA, Campbell's, and Keysight Technologies among the employers posting roles now.
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Showing 5 of 18+ Agentic AI Engineer Internships
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
EOE, disability/veterans
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
EOE, disability/veterans
Agentic AI Engineer Internship Market
Who's Hiring
Top Industries Hiring
- Food & Beverage
Tips for Your Agentic AI Engineer Internship Search
Apply in the fall for summer roles
Large AI and tech employers open summer internship recruiting as early as August or September the year before. If you wait until spring, many structured cohorts are already closed. Set a calendar reminder at the start of each fall semester and treat early applications as your highest-priority window.
Build a portfolio before you apply
Hiring teams for agentic ai engineer interns expect limited work history and assess candidates on project evidence instead. Put two or three completed, public GitHub repositories front and center, agent pipelines, tool-calling systems, or multi-step reasoning demos, so reviewers can open your work and evaluate it directly rather than reading about it.
Work your campus network alongside direct applications
Campus career fairs surface structured internship programs tied directly to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Apply directly to companies running smaller cohorts at the same time, combining both channels widens the pool you reach and fills gaps the other approach misses.
Practice your technical screen out loud
Agentic ai engineer intern interviews typically include a coding screen covering data structures, algorithms, and system design questions around agent architectures or tool integration. Practice working through problems out loud and explaining your reasoning step by step, interviewers weigh how you think through a problem as heavily as the final solution you reach.
Target structured AI internship programs early
Many large AI labs and tech companies run dedicated cohort programs designed to train people new to agentic systems work. These programs recruit early, fill fast, and offer mentorship and project depth that unstructured internships often don't. Identify the ones that fit your background and apply in the first wave of their recruiting cycle.
Set your work-type filter before you start
On-site roles are 40% of the agentic ai engineer internships listed here. Decide what you can commit to before you search, then filter by location and work type on Migrate Mate so you're not sorting through roles you can't take. A focused list of realistic openings moves faster than a long list of long shots.
Agentic AI Engineer Internships: Frequently Asked Questions
How do I get an agentic ai engineer internship?
Lead with coursework and personal projects rather than work history, hiring teams expect limited experience at the intern level. For agentic ai engineer candidates, the concrete artifact that gives recruiters something to assess is a linked GitHub repository showing working agent pipelines, tool integrations, or multi-step reasoning systems. Combine direct applications with campus career fairs, where recruiters often move faster for students they meet in person.
Can an agentic ai engineer internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. For agentic ai engineer interns, what actually drives it is delivering on real project milestones, fitting team culture, and understanding that headcount decisions happen on the employer's timeline. Position yourself by doing the work well and communicating proactively, without counting on a standing offer before you finish.
When should I apply for agentic ai engineer internships?
Earlier than most expect. Large tech and AI employers open summer internship recruiting the preceding fall, often closing cohorts before the new year. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Checking listings regularly and applying as soon as a role opens gives you the best chance before cohorts fill.
Are agentic ai engineer internships paid?
Most professional agentic ai engineer internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer discloses it. Research-track internships at universities or nonprofits sometimes operate on stipends or academic credit rather than a salary, so check the listing carefully before applying.
What should an agentic ai engineer internship resume include?
Lead with two or three complete, documented projects rather than work history. For agentic ai engineer candidates, that means linked GitHub repositories showing agent architectures, tool-use implementations, or retrieval-augmented pipelines, something a reviewer can open and assess. Add relevant coursework in machine learning, NLP, or systems design. Keep the whole document to one page.
Are there remote agentic ai engineer internships?
Yes. Remote and hybrid roles make up 60% of the agentic ai engineer internship listings here, with the rest on-site. Remote cohorts fill fast because they draw applicants nationally, so apply early and filter by work type to see them before they close.
Can international students get agentic ai engineer internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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