AI Workflows Intern [2027]

Skills

About the Role

You will design, prototype and deploy internal AI tools and agentic workflows that help safety operators and analysts make faster, more consistent, data-driven safety decisions. You will test the reliability of LLM-based tools, connect generative AI agents to safety databases and operational logs, and work with safety strategists and software engineers to test prototypes in real scenarios and iterate on feedback.

Requirements

• Currently pursuing a Master's or advanced degree in Computer Science, AI, Robotics, Data Science or related engineering field
• Good academic standing and enrolled at an accredited college or university throughout the internship
• Expected graduation between Fall 2027 and Summer 2028
• Able to commit to a full-time, 12-week internship
• Ability to relocate to the Bay Area, California for the internship
• Strong software engineering fundamentals in Python and object-oriented programming
• Hands-on experience developing and deploying AI tools, LLM APIs and agentic workflows
• Understanding of AI limitations, hallucinations and verification methods
• Experience building prototypes, APIs or internal web dashboards
• Strong analytical problem-solving and technical communication

Responsibilities

• Design, prototype and implement agentic workflows and AI-assisted tools that automate safety evaluations and triage operational signals
• Characterize capabilities, edge cases and failure modes of LLMs and AI workflows to ensure safety-critical reliability
• Connect generative AI agents to structured safety databases and operational logs for real-time synthesis and risk reporting
• Collaborate with safety strategists and software engineers to test prototypes and iterate on user feedback

Benefits

• Medical insurance
• Housing stipend
• Relocation assistance based on eligibility