Product Engineering Summer Intern – Generative AI

Trinity Life Sciences•New York, NY
•Hybrid

About The Position

We are seeking a highly motivated and talented individual to join Trinity Life Sciences as a Generative AI (GenAI) Intern on our Product Engineering team. In this role, the intern will assist in implementing state-of-the-art GenAI models and building agentic workflows for various applications within our product offerings for our clients in the pharmaceutical and life sciences industry. Interns will work closely with our team of engineers and data scientists to research, design, and implement cutting-edge products. Interns develop their skills through undergoing extensive formal and informal training, as well as receiving mentorship that encourages them to stretch their skills in a real-world setting. This is a 9-week internship program, based out of Trinity’s office in New York, NY – interns will be required to work in a hybrid work model, coming into the office about 2-3 days per week. The dates for the program run from mid-June – mid August 2027 Interns will be paid $35/hour and can expect to work 40 hours/week. Applicants for this position must be legally authorized to work in the United States without the need for employer sponsorship. Trinity is unable to consider candidates requiring sponsorship for visas, including but not limited to TN, H1-B, F-1, and STEM OPT.

Requirements

  • Candidates should be enrolled in a graduate or undergraduate program in computer science or a related field.
  • Trinity is targeting current Juniors, or students in a master’s program with 1 year left in their studies.
  • Strong programming skills (e.g. Typescript, SQL)
  • Familiarity with different types of large language models and agentic frameworks
  • Ability to work independently and collaboratively in a team environment
  • Strong problem-solving and analytical skills
  • Excellent communication and presentation skills

Nice To Haves

  • Experience doing software development with different types of large language models in an academic or corporate setting
  • Experience using agentic coding tools for development
  • Experience building agents using agent frameworks like Langchain
  • Experience with agent testing/evaluation frameworks

Responsibilities

  • Assist in building agents and using AI as part of various applications for our life sciences clients
  • Conduct research to identify GenAI models and implementation techniques suited for specific use cases
  • Analyze and evaluate the performance of Gen AI models and agents
  • Test and validate the performance of agents using real-world data
  • Collaborate with other team members to design and develop enhancements and refinements
  • Assist in preparing technical reports, presentations, and documentation
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