Spring Intern: Agentic AI Prototyping & Evaluation

Genentech; South San Francisco (CA); On-site; USD 59,000 - 84,000; Full time

Benefits offered by this job

Stipend

Paid holidays

Job summary

Genentech is offering a Spring Intern role in Data Science & Machine Learning focused on Agentic AI discovery and prototyping in South San Francisco, CA. You will prototype AI agent workflows, benchmark LLM outputs, and implement safety guardrails while integrating LLMs with internal tools and data sources.

The internship emphasizes collaboration across engineering and data science teams, with a 12-week, full-time schedule and an on-site location.

Qualifications

• Currently enrolled in a graduate degree program (Master's or PhD).
• Foundational Python and software development practices (Git).
• Understanding of LLMs and Generative AI patterns.
• Awareness of AI safety, output reliability, and healthcare compliance.

Responsibilities

• Build, test, and refine prototypes for AI agent workflows (Q&A, search, automation).
• Design a general evaluation framework to benchmark LLM outputs and agent reliability.
• Implement guardrails to ensure safe, compliant AI outputs in high-stakes environments.
• Develop Python code to integrate LLMs with internal APIs, search tools, and data sources.
• Collaborate with engineers, data scientists, and stakeholders; iterate on feedback.
• Share project findings, architectures, and evaluation metrics with the team.

Skills

Python

LLMs

Prompt engineering

AI safety

Git

Regulatory compliance

Education

Master's degree (enrolled)

PhD (enrolled)

Tools

LangChain

LlamaIndex

APIs

Job description

Genentech is offering a Spring Intern role in Data Science & Machine Learning focused on Agentic AI discovery and prototyping in South San Francisco, CA. You will prototype AI agent workflows, benchmark LLM outputs, and implement safety guardrails while integrating LLMs with internal tools and data sources.

The internship emphasizes collaboration across engineering and data science teams, with a 12-week, full-time schedule and an on-site location.