2026 AI Developer Intern

Job Description

At EisnerAmper we look for individuals who welcome new ideas encourage innovation and are eager to make an impact. Whether youre starting out in your career or taking your next step as a seasoned professional the EisnerAmper experience is one-of-a-kind. You can design a career youll love from top to bottom we give you the tools you need to succeed and the autonomy to reach your goals.

Join the EisnerAI team a fast-growing organization within EisnerAmper that is redefining how professional services harness the power of Artificial Intelligence. EisnerAmper is seeking an AI Developer Intern who will focus on building intelligent agents and automated workflows within Azure AI Foundry for the EisnerAI Platform. This individual will support with developing the Agent Workforce such as TaxPrepBot ComplianceRiskBot DocIntake and optimizing overall delivery workflows in our Tax Audit Advisory and Outsourcing service lines directly supporting EisnerAmpers mission to become the industry-leading AI-powered professional services firm.

What it Means to Work for EisnerAmper:

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

• You will join a culture that has received multiple top Places to Work awards

• We believe that great work is accomplished when cultures ideas and experiences come together to create new solutions

What youll be doing:

• Design and build intelligent AI agents using Azure AI Foundry for tax preparation compliance monitoring document processing and M&A analysis

• Build end-to-end automated workflows that integrate AI agents with existing enterprise systems

• Execute post-training techniques including fine-tuning instruction tuning and reinforcement learning from human feedback (RLHF)

• Design comprehensive evaluation frameworks for AI agents including accuracy reliability and compliance metrics

Basic Qualifications:

• Currently enrolled or recently graduated with a Bachelors degree in Computer Science or a related field.

• Must be legally authorized to work in the United States without the need for employer sponsorship now or at any time in the future

• Have the availability to work in-office 3 days a week (Monday Friday; 8:30 am 5:30 pm)

• This position can sit in one of the following offices: Philadelphia Iselin or New York City

Preferred/Desired Qualifications:

• Agent Development: Multi-agent systems (MOE) reasoning frameworks and orchestration

• Workflow Design: Prompt flow automation pipelines and human-in-the-loop systems

• Post-Training Techniques: Fine-tuning instruction tuning RLHF and domain adaptation

• Model Evaluation: Performance metrics benchmark development and A/B testing frameworks

• Consulting mindset with a strong bias for action

• Adept at connecting strategy to execution and simplifying complexity

• Passion for enabling people and driving business transformation through AI

About EisnerAmper:

EisnerAmper is one of the largest accounting tax and business advisory firms with nearly 4500 employees and more than 450 partners across the world. We combine responsiveness with a long-range perspective; to help clients meet the pressing issues they face today and position them for success tomorrow.

Our clients are enterprises as diverse as sophisticated financial institutions and start-ups global public firms and middle-market companies as well as high net worth individuals family offices not-for-profit organizations and entrepreneurial ventures across a variety of industries. We are also engaged by the attorneys financial professionals bankers and investors who serve these clients.

EisnerAmper is proud to be a merit-based employer. We do not discriminate on the basis of veteran or disability status or any protected characteristics under federal state or local law.

Should you need any accommodations to complete this application please email:

For NYC and California the expected salary range for this position is between

and

The range for the position in other geographies may vary based on market actual compensation will be determined based on experience and other factors permitted by law.