AI Consulting Associate Program (AI CAP) Engineering Intern - Summer 2027

DriveWealth•Chicago, IL

19d•$35 - $40•Hybrid

About The Position

DriveWealth is seeking an AI Engineering intern to work on practical AI agentic automation problems. The intern will design, prototype, and develop AI-powered agents that help business teams and engineers work faster and more effectively. They will collaborate with senior engineers and architects, receive mentorship and design reviews, and gain experience with modern generative AI patterns such as agent orchestration, tool-calling, retrieval, and evaluation in an enterprise fintech environment. The project will use the models, agent frameworks, and protocols best suited to summer 2027. The summer program runs for 10–12 weeks between May and August 2027. The intern is expected to work in the office 3–4 days per week, as determined by the sponsor. Compensation is $35–$40 per hour. Top-performing associates may be considered for full-time roles at the end of the program, based on performance and team needs. Applicants must have a graduation date in 2027 or 2028 and be authorized to work in the United States without current or future visa sponsorship.

Requirements

Currently pursuing an undergraduate or graduate degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related technical field.
Graduation date in 2027 or 2028.
Experience programming in Python for automation, prototyping, and scripting, and in SQL.
Familiarity with APIs, JSON, and basic service integration.
Foundational understanding of large language models and their use in applications, including prompting, tool use, and retrieval.
Strong curiosity and willingness to explore rapidly evolving technologies.
Growth mindset, including willingness to ask questions, experiment, and iterate.
Systems thinking and ability to reason about workflows, edge cases, and unintended consequences.
Clear written and verbal communication, especially when explaining technical ideas to non-engineers.
Ownership mindset and responsibility for outcomes.
Ability to accept feedback and iterate quickly.
Authorization to work in the United States for any employer without current or future visa sponsorship.

Nice To Haves

Experience with or exposure to agentic frameworks such as AWS Strands SDK or LangChain.
Exposure to cloud platforms or containerized environments.
Familiarity with cloud environments; AWS is preferred.
Experience building internal tools, command-line interfaces, or low-code web apps.
Interest in AI evaluation, testing, or reliability techniques.

Responsibilities

Design, prototype, and develop agentic AI workflows to automate or augment business or engineering tasks, such as analysis, triage, documentation, and knowledge synthesis.
Build internal tools or proof-of-concept systems combining large language models, APIs, and automation frameworks into end-to-end agentic solutions.
Experiment with agent architectures, including single-agent and multi-agent approaches, planner/executor patterns, and 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.
Document designs, experiments, and lessons learned so the work can be reused or extended by the team.
Demonstrate work directly to customers and the leadership team.