TicketNetwork
Posted 170 days agoVerified live 18h ago
AI Agent Research and Development Intern
Brief overview
Charlotte, NC 28209, USAIn-person
UndergradOr in progress
1 H-1B approvalsDept. of Labor
LLM APIs (OpenAI, Anthropic)prompt engineeringMicrosoft Copilot StudioAzure AIdocument extractionunderwriting pre-screeningcompliance checksborrower-facing communicationtechnical documentationstakeholder interviewingbusiness case development
About the company
TicketNetworkticketnetwork.com
TicketNetwork is a provider of ticketing services for sports, concerts, theater etc.
Visa sponsorship history
1 year sponsoring, last filed FY2026
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.1H-1B approved
100%approval rate
1new H-1B hires
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20261
Job description
Summary
TicketNetwork is a national, direct private lender supporting real estate investors across the country. They are looking for a curious, technically inclined intern to help explore and build AI agent solutions tailored to their private lending business, focusing on both research and hands-on development using advanced AI models.
Responsibilities
- Identify and evaluate AI agents suited for financial services and lending (origination, underwriting, compliance, servicing)
- Build and maintain an internal Agent Registry scoring tools on accuracy, compliance readiness, integration feasibility, and cost
- Interview internal stakeholders to surface high-value automation opportunities
- Produce a prioritized opportunity map with supporting business cases
- Design and build AI agents in Microsoft Copilot Studio using GPT-4 and/or Claude APIs
- Target use cases such as: document extraction, underwriting pre-screening, compliance checks, and borrower-facing communication
- Integrate agents with existing LOS, CRM, and document management systems
- Test, document, and hand off production-ready agents with supporting playbooks
Skills
- Familiarity with LLM APIs (OpenAI, Anthropic) and prompt engineering fundamentals
- Strong written communication — you'll produce documentation and briefings alongside technical work
- Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related field
- Exposure to Microsoft Copilot Studio, Azure AI, or similar platforms is a strong plus
- Interest in financial services or fintech; lending knowledge is a bonus, not a requirement
Qualifications
Must Haves
- Familiarity with LLM APIs (OpenAI, Anthropic) and prompt engineering fundamentals
- Strong written communication — you'll produce documentation and briefings alongside technical work
- Currently pursuing a degree in Computer Science, Data Science, Information Systems, or a related field
Nice to Haves
- Exposure to Microsoft Copilot Studio, Azure AI, or similar platforms is a strong plus
- Interest in financial services or fintech; lending knowledge is a bonus, not a requirement
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