Dragin
Software Engineering, Applied AI, Internship, In Office
New York, New York, US
Role snapshot
Dragin is hiring a Software Engineering, Applied AI, Internship, In Office on a internship basis. This is an on-site role based in New York, New York, US.
- Company
- Dragin
- Location
- New York, New York, US
- Work mode
- On-site
- Job type
- Internship
- Posted
- Nov 1, 2026
Who this role suits
Students and recent graduates who want hands-on experience. Internships are usually judged on curiosity, projects and coursework rather than years of work history.
How to prepare your application
- Put one or two projects near the top of your résumé, with a link a recruiter can open in a few seconds.
- Revise core fundamentals for the role; early-career interviews lean heavily on basics and how you reason through a problem.
- Read what Dragin publishes about its product or team, so you can say clearly why this role and this company.
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About the role
Company Description
Dragin specializes in Revenue-Based Finance Automation and CRM solutions, designed to empower businesses with smarter and more efficient financial workflows. By leveraging innovative technologies, Dragin helps organizations streamline their revenue operations, optimize customer relationship management, and drive business growth. The company is committed to delivering data-driven solutions tailored to meet unique business needs.
Role Description
This is a full-time, in-office Software Engineering Internship focused on Applied AI, located in the Long Island area of NY. Interns will work on developing and implementing software solutions using artificial intelligence technologies, contributing to programming tasks and debugging efforts.
What You’ll Do
- Build and maintain API integrations with financial platforms and third-party data providers
- Ingest and process banking and financial data to support internal tools and decision-making
- Develop systems to analyze transaction data and financial statements
- Leverage AI/LLMs to clean, structure, and extract insights from messy financial data
- Contribute to tools that support automated financial analysis and decision-making
- Work closely with the team to ship features quickly and iterate in a fast-paced environment
- Debug, test, and improve data pipelines and backend systems
Qualifications
- Proficiency in Python, with a focus on problem-solving and coding best practices
- Knowledge of Databases, with experience in database management and concepts
- Familiarity with Linux operating systems and its command-line interface
- Strong analytical thinking and the ability to work effectively in a team
- Pursuing a degree in Computer Science, Software Engineering, or a related field
- Experience or coursework related to artificial intelligence is a plus