The board
Internship
DataBusiness
AI Engineer Co-Op
Audax Group · MCO - Boston - Business Solutions
- Where
- Boston, MA
- Posted
- Aug 24
Founded in 1999, Audax Group is a leading alternative investment manager with offices in Boston, New York, San Francisco, London and Hong Kong. With approximately $42 billion of assets under management and more than 475 employees, Audax is a leading capital partner for middle market companies, operating through three business lines: Audax Private Equity, Audax Private Debt, and Audax Strategic Capital.
For more information, visit www.audaxgroup.com or follow Audax Group on LinkedIn.
CO-OP/Intern Cycle: January - June 2027
Anticipated Start & End Date: January 4 - June 25, 2027 (dates are flexible based on school requirements)
Location: Boston, MA
Office Requirements: 3-4 days in office
Team: Business Solutions
POSITION SUMMARY:
Audax is looking for a dynamic, motivated AI Engineer CO-OP to join the business solutions team.
What you'd do
- Assist with designing, implementing, maintaining, and scaling Audax’s AI ecosystem.
- Coordinate with internal IT professionals to scale AI infrastructure within the company’s cloud enterprise.
- Play an integral role in proof-of-concept development for different function area use cases within the firm.
- Assist with implementation of AI governance policies; this includes security, documentation, and privacy.
- Provide data validation and data quality assessments through coordination with the firm’s internal data engineers.
- Code within an IDE environment (VS Code) with Python, SQL, and Git.
- Utilize cloud environment services to assist with AI application development and deployment.
- Understand and experiment with modern AI architectures for experimentation and use case development.
- Support coordination across different firm function areas for information gathering, updates, and user testing.
- Experience with Python, SQL, and Git.
What they want
- Currently pursuing a Bachelor’s or Master’s degree in Data Science, Data Engineering, Data Analytics, Computational Engineering, Computer Science, or another related field.
- Experience with at least two of the following required: traditional machine learning, natural language processing, transfer learning/fine-tuning, predictive analytics, agentic frameworks, AI output evaluation, and data engineering.
- Strong written and oral communication skills as well as critical thinking skills required to operate in an efficient and meaningful way with all levels of the organization
- Experience with Microsoft Azure (including GitHub)
- Experience with Agentic SDKs, tools, evaluations and Chatbot Integrations
- Experience with Snowflake
- Previous co-op or full-time experience in a related field