Collaborate with experienced AI engineers to build and test features that use AI to summarize, extract, and analyze data from global-scale backup systems.
Assist in developing, evaluating, and improving AI-powered workflows (e.g., document summarization, keyword extraction, vector search).
Participate in designing secure, tenant-aware interfaces for querying enterprise data using modern AI methodologies.
Help define and run experiments to benchmark AI system quality (e.g., relevance, accuracy, reliability).
Contribute to prompt engineering and evaluation for LLM-based assistants and tools.
Document your work and share your findings with the team, supporting a culture of transparency and continuous learning.
Join regular team meetings and cross-functional collaborations to see how your work fits into the bigger picture.

Requirements

Currently pursuing a Master’s degree or PhD in Computer Science, Information Technology, Engineering, or a related field.
Strong problem-solving and analytical skills.
Excellent written, verbal, and presentation skills.
A keen interest in technology and its applications in business solutions.
Proficiency in Windows, Microsoft Office, and familiarity with cloud technologies (AWS, Azure, or similar) is a plus.
Ability to work independently in a dynamic, fast-paced environment; high-energy, motivated self-starter.

Benefits

Paid Company Holidays during your internship
Tech Stipend to help set up your workspace
8 Hours of Paid Volunteer Time through our Veeam Cares Program
Personal and Professional Development through our Internship Program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AIdocument summarizationkeyword extractionvector searchprompt engineeringLLM-based assistantsdata analysisexperiment designbenchmarkingdata extraction

Soft skills

problem-solvinganalytical skillswritten communicationverbal communicationpresentation skillsindependencemotivationcollaborationtransparencycontinuous learning