About Us

DriveWealth is on a mission to make investing easier. We believe access to financial markets shouldn’t be limited by geography, wealth, or legacy systems. Our API-based platform empowers partners to offer seamless investing and trading experiences to clients worldwide, with US equities, ETFs, mutual funds, fixed income, options, and fractional shares.

Our culture blends the pace and agility of a fintech start-up with the stability and discipline of Wall Street. We encourage creativity and experimentation while holding ourselves to institutional-grade execution and compliance. Join us and help build the future of global investing!

Interested to learn more about our AI CAP Program? We will have our in-person Open House at our CHI office office on November 23rd (RSVP here: https://partiful.com/e/53eY3haJAUxm6leyFo5v)

About the Role

We are seeking an AI Engineering intern who will work on real AI agentic automation problems, designing, prototyping, and developing AI-powered agents to help the business and engineers achieve faster, smarter work. You will collaborate directly with senior engineers and architects, receiving mentorship and design reviews, and gaining exposure to modern GenAI patterns, including agent orchestration, tool-calling, retrieval, and evaluation, within an enterprise and fast-paced fintech environment.

AI tools change every quarter. Your project will use the best models, agent frameworks, and protocols available in summer 2027. You will work on current practice, not today's stack.

Launch your career developing real, impactful AI solutions in the lightning-fast world of fintech!

Program Details

Our summer program will be 10-12 weeks from May - August 2027 with the expectation of being in the office 3-4 days per week, as determined by the sponsor. Compensation will be set at an hourly rate of $35-40 per hour. Top performing associates may have the opportunity to be considered for full-time roles at DriveWealth at the conclusion of the program, based on performance and team needs. Must have a graduation date in 2027 or 2028.

What You’ll Do

Design, prototype, and develop agentic AI workflows that automate or augment business or engineering tasks (for example, analysis, triage, documentation, and knowledge synthesis)

Build internal tools or proof-of-concept systems that combine LLMs, APIs, and automation frameworks into end-to-end agentic solutions

Experiment with different agent architectures (single-agent vs. multi-agent, planner/executor patterns, human-in-the-loop workflows) and document tradeoffs

Apply best practices when building AI-driven automation

Evaluate agent behavior for reliability, correctness, and failure modes, and propose improvements

Clearly document designs, experiments, and lessons learned so work can be reused or extended by the team

Demo your work directly to customers and the leadership team

What You’ll Need

Currently pursuing an undergraduate or graduate degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related technical field

Experience programming in Python (for automation, prototyping, and scripting) and SQL

Familiarity with APIs, JSON, and basic service integration

Foundational understanding of large language models and how they are used in applications (prompting, tool use, retrieval, etc.)

Strong curiosity and willingness to explore new, rapidly evolving technologies

A growth mindset: you ask questions and enjoy experimenting and iterating

Systems thinking: able to reason about workflows, edge cases, and unintended consequences

Clear written and verbal communication, especially when explaining technical ideas to non-engineers

Ownership mindset: you take responsibility for outcomes, not just tasks

Ability to accept feedback and iterate quickly

Nice to Have

Experience with or exposure to agentic frameworks (AWS Strands SDK, LangChain, etc.)

Exposure to cloud platforms or containerized environments

Familiarity with cloud environments (AWS preferred)

Experience building internal tools, CLIs, or low-code web apps