AI Engineer Intern

Position Title: AI Engineer Dashboard Development Intern
Company: Shah Equity
Website: shah-equity.com
Job Type: Part-Time Internship
Work Setting: Fully Remote (Flexible Hours) with Optional Saturday In-Office Days
Location: Dallas, TX (Optional Saturdays)
Hours: ~10 hours/week (Flexible scheduling)
Compensation: $1,000/month stipend
Duration: 12-week structured internship program (Starting April 20th)

Target Majors: Computer Science, Artificial Intelligence, Data Science, Software Engineering, Machine Learning

About the Opportunity

Shah Equity is a high-volume trading firm operating across U.S. equity and cryptocurrency markets. We are seeking a technically skilled AI Development Intern to contribute to the development of an internal trading intelligence dashboard used to support portfolio decision-making.

This is an opportunity to work on a production-facing system within a real trading environment, contributing to tools that process live market data, generate signals, and surface insights for trading operations.

Interns will gain exposure to quantitative systems, data pipelines, and real-world financial technology infrastructure.

Roles & Responsibilities

• Contribute to development of an internal dashboard focused on market data and trading insights
• Build modules for sentiment analysis using news, social signals, and market data
• Develop anomaly detection features (price action, volume spikes, correlations)
• Support risk monitoring tools for exposure, volatility, and drawdown tracking
• Aggregate and normalize data from multiple sources into reliable pipelines
• Assist in generating system-driven trade suggestions (rebalance, reduce exposure, risk flags)
• Document system architecture and development processes
• Participate in weekly check-ins with trading and finance teams

Learning Outcomes

• Understand how data systems support trading decisions
• Apply sentiment analysis and data workflows to financial markets
• Learn how signals are generated and interpreted in trading environments
• Build scalable data pipelines for financial systems
• Communicate technical outputs to non-technical stakeholders

Eligibility Requirements

• Must be 18+
• Must be a U.S. citizen
• Must be a Texas resident
• Currently enrolled in or recently graduated in a relevant field
• Experience with Python preferred
• Familiarity with APIs or data workflows is a plus
• Ability to commit ~10 hours/week

Preferred Qualifications

• Experience with machine learning, NLP, or data engineering
• Exposure to financial markets or fintech
• Familiarity with visualization tools (Plotly, Streamlit, Dash)

— Shah Venture Fund Opportunity —

This internship is supported by the Shah Venture Fund, the firm’s internal investment arm focused on early-stage technology and AI ventures.

High-performing interns may have the opportunity to:

• Develop and pitch original ideas
• Present early-stage concepts to the team
• Receive feedback from operators and investors

Select participants may be considered for potential backing or continued support for AI-driven or technology-focused startup ideas.

— Nominee Director Structure & Requirements —

This internship operates under a nominee director structure as part of Shah Equity’s internal trading and operational systems. Candidates are encouraged to familiarize themselves with the concept of a nominee director prior to onboarding.

As part of this structure, brokerage accounts are opened under business entities (LLCs) provided by Shah Equity to support the firm’s multi-account infrastructure, used for strategy separation, risk management, and system testing.

This structure may include establishing a business entity and associated financial accounts in the participant’s name as part of the firm’s operational framework.

In this context, a nominee director functions as a registered participant within the firm’s account structure, supporting operational systems without direct control over capital or trading decisions.

Important Clarifications

• All funds are owned and managed by Shah Equity
• Trades are executed by firm traders or systems
• No personal funds are required
• Interns bear no financial risk
• Interns do not control trading decisions
• All setup (LLC, brokerage, banking) is handled by Shah Equity
• Accounts are active only during the internship

Account registration does not imply ownership or liability.

— Tax & Legal Structure —

• All tax obligations are handled by Shah Equity
• Interns do not pay trading-related taxes
• Interns do not report trading income
• Participation is governed by formal agreements
• No fiduciary obligations are created
• All activities operate under structured compliance

Compensation & Benefits

• $1,000/month stipend
• Fully remote, flexible schedule
• Mentorship from trading and technology professionals
• Portfolio-worthy project experience
• Letter of recommendation
• LinkedIn recommendation from leadership
• Intern Slack community access

Optional Saturday Program (Dallas)

Optional in-person sessions include:

• Intern presentations
• Team roundtables
• Guest trader sessions
• Final project presentations
• Team lunches

How to Apply

Apply through Indeed with your resume and a short (250–400 word) description of a technical project you’ve worked on and how it relates to financial systems.

Applications are reviewed on a rolling basis.

Pay: $25.00 per hour

Application Question(s):

• Are you a U.S. citizen?
• Are you currently a resident of Texas?
• What is your current major or professional background?
• Briefly describe your experience (if any) with programming, AI tools, or financial markets.
• Why are you interested in this internship?
• Are you comfortable participating in a structured program that may involve business and account setup in your name, with no personal financial responsibility?
• Are you able to commit approximately 10 hours per week for a 12-week internship starting April 20th?

Work Location: Remote