Product Engineering Summer Intern – Generative AI

Trinity Life Sciences • New York, NY

1d • Hybrid

About The Position

Trinity Life Sciences is seeking a Generative AI intern to join its Product Engineering team. The intern will help implement generative AI models and build agentic workflows for applications in products serving pharmaceutical and life sciences clients. Working with engineers and data scientists, the intern will research, design, and implement products. The program includes formal and informal training and mentorship in a real-world setting.

This is a 9-week internship based out of Trinity’s New York, NY office, with a hybrid schedule requiring approximately 2–3 days per week in the office. The program runs from mid-June to mid-August 2027. Interns are paid $35 per hour and can expect to work 40 hours per week. Applicants must be legally authorized to work in the United States without employer sponsorship; candidates requiring visa sponsorship are not eligible.

Requirements

• Be enrolled in an undergraduate or graduate program in computer science or a related field.
• Be a current junior undergraduate student or a master’s student with one year remaining in their studies.
• Have strong programming skills, such as TypeScript and SQL.
• Be familiar with different types of large language models and agentic frameworks.
• Be able to work independently and collaboratively in a team environment.
• Have strong problem-solving and analytical skills.
• Have excellent communication and presentation skills.
• Be legally authorized to work in the United States without employer sponsorship.

Nice To Haves

• Experience developing software with different types of large language models in an academic or corporate setting.
• Experience using agentic coding tools for development.
• Experience building agents with agent frameworks such as LangChain.
• Experience with agent testing and evaluation frameworks.

Responsibilities

• Assist in building agents and using AI in applications for life sciences clients.
• Research GenAI models and implementation techniques suited to specific use cases.
• Analyze and evaluate the performance of GenAI models and agents.
• Test and validate agent performance using real-world data.
• Collaborate with team members to design and develop enhancements and refinements.
• Assist in preparing technical reports, presentations, and documentation.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: No Education Listed