REMOTE AI Applications Intern

BROWN TECHNOLOGIES INCORPORATED•Huntsville, AL

8d•Remote

About The Position

Brown Technologies is a rapidly growing company with a proven record of success supporting complex cutting-edge development programs. We are an employee-centric company that understands the individuals that comprise our workforce are our most important asset and are recognized as one of "The Best Place for Working Parents". Come join our team of experienced, dedicated, and committed professionals whose focus is to solve the mission-critical problems of our customers. Brown Technologies is currently seeking an AI application developer intern who is a self-starter supporting commercial customers. As an AI Applications Intern, you’ll help design, prototype, and deliver real-world AI features for commercial clients. You’ll collaborate with BTI engineers and fellow interns, meet once per week as a group, and attend and present at customer demos to showcase progress and gather feedback.

Requirements

Currently pursuing a Bachelor’s or Master’s in CS, CE, EE, Data/AI, or related field—or equivalent experience.
Comfortable with Python (or TypeScript/JavaScript) and Git/GitHub workflows.
Basic understanding of machine learning or LLM concepts (fine-tuning vs. prompting, embeddings, evaluation).
Strong written and verbal communication; willing to present to customers.
Able to commit ~10 hours/week and attend a weekly group meeting (time set with the cohort).

Nice To Haves

LLMs and prompt engineering (function/tool use, RAG basics).
Data wrangling (CSV/JSON/Parquet), simple ETL, vector stores.
Cloud or app glue code (APIs, webhooks, small web UIs).
Evaluation harnesses and simple dashboards.

Responsibilities

Build and iterate on AI features (e.g., intelligent assistants, classifiers, retrieval pipelines, automations) for commercial use cases.
Write clean, well-documented Python/TypeScript code and contribute to shared repos.
Prepare demo scripts, slides, and live walkthroughs; present your work during customer demos.
Evaluate models and prompts; run small experiments and track metrics (accuracy, latency, cost).
Implement basic data handling best practices (PII awareness, logging, config/secrets hygiene).
Collaborate in a weekly intern stand-up/working session; proactively communicate status and blockers.
Capture lessons learned and contribute to lightweight internal docs/playbooks.