Design, build, and ship full-stack features on active LoopTech products, typically with Python (FastAPI) backends and TypeScript/React frontends.
Use agentic development tools (e.g., Claude Code and similar AI coding assistants) and strong prompt engineering to accelerate development and reduce boilerplate.
Conduct data collection, preparation, and curation in support of model training, evaluation, and analytics.
Assist in building and running evaluation harnesses for AI models and agents, including error analysis and reporting of results.
Lead and participate in rapid prototyping sessions to develop proof-of-concepts that could actually be used by the company.
Package work as minimal, runnable demos that others can execute, and present working software at team demos and the capstone presentation.
Document your approach and share your work with the organization.
Participate in team discussions, brainstorming sessions, knowledge sharing, user experiments, and pilot projects.
Qualifications
Strong programming skills in Python and/or TypeScript/JavaScript, with working git fluency.
Familiarity with web application fundamentals: APIs, databases, and modern frontend frameworks.
Interest in large language models and applied AI; experience with AI coding assistants or agentic tools is a plus.
Familiarity with machine learning concepts, data preprocessing, or frameworks such as PyTorch is a strong plus but not required.
Motivated self-starter with excellent problem-solving skills and the ability to work with high autonomy as well as in a team.
Eagerness to learn, adapt, and take on new challenges in the AI field.
Strong communication skills and the ability to convey complex technical concepts to non-technical audiences.
All candidates should have an interest in a career in the Life Sciences field, a willingness to take initiative, and an ability to work well with others
Candidates should be students entering their Junior or Senior year the following fall semester or entering graduate school; candidates who graduate the spring semester before this internship are also eligible
A minimum GPA of 3.0 is preferred
All candidates must provide proof of enrollment (including pre-registration certification for the following fall) for consideration
Multiple disciplines will be considered (e.g. Computer Science, Data Science, Informatics, Software Engineering, Computer/Electrical Engineering, and related fields)
