Product Engineering Summer Intern – Generative AI
Trinity Life Sciences1 day ago
New York, NY, USAIntern
Responsibilities
- Assist in building agents and incorporating AI into applications for life sciences clients.
- Research Generative AI models and implementation techniques for specific use cases.
- Analyze, evaluate, test, and validate the performance of Generative AI models and agents using real-world data.
- Collaborate with team members to design and develop product enhancements and refinements.
- Prepare technical reports, presentations, and documentation.
Requirements
- Be enrolled in an undergraduate or graduate program in computer science or a related field; Trinity is targeting current juniors and master's students with one year remaining.
- Have strong programming skills, such as TypeScript and SQL.
- Be familiar with different types of large language models and agentic frameworks.
- Demonstrate strong problem-solving, analytical, communication, presentation, independent-work, and collaboration skills.
- Preferred qualifications include LLM software development experience, experience with agentic coding tools, LangChain, and agent testing or evaluation frameworks.
Benefits
- 9-week internship program running from mid-June through mid-August 2027.
- Hybrid work model based out of Trinity’s New York, NY office, with approximately 2–3 days per week in the office.
- Extensive formal and informal training and mentorship.
- Paid $35/hour for an expected 40-hour workweek.
Tech Stack
Categories
About Trinity Life Sciences
Trinity Life Sciences provides consulting, primary market research, and advanced analytics to pharmaceutical, biotech, and medical-device companies, guiding clinical and commercial decisions from pre-launch through loss of exclusivity. The privately held firm combines advisory services with data and AI-driven software platforms. Founded in 1996 and headquartered in Waltham, Massachusetts, it serves global life-sciences markets with teams embedded alongside client commercial and medical-affairs groups.