AI Builder Intern

On-site in San Francisco, CA or New York, NY

About The Role

This isn't a research internship. You won't spend the summer writing reports or sitting in strategy meetings. You'll spend it building - shipping AI-powered tools, automating workflows, and deploying agentic systems that real teams at Scale AI use every day. Embedded in the Data & Technology org, you'll work directly alongside engineers, data scientists, and ops leads on live automation initiatives. If you have strong instincts for what AI can do today, a bias for building over theorizing, and a fluency in modern LLM tooling - this role is for you.

A note on "vibe coding": We're not precious about how code gets written. Use Cursor, Claude, Copilot, or whatever gets you from idea to working demo in hours, not weeks. We care about judgment, craft, and what ships - not keystroke attribution.

Responsibilities

• Agentic Workflows & Automation
  • Design and deploy multi-step agentic workflows using LLM-integrated frameworks (LangChain, LangGraph, CrewAI, or similar)
  • Build API-connected automations that tie together internal tools - Slack, Salesforce, Notion, and internal data systems
  • Prototype and iterate fast; build things that work, then make them better
• AI Tooling & Internal Products
  • Develop lightweight internal tools and dashboards that surface AI outputs to business teams
  • Vibe-code functional UIs - React, plain JS, or whatever gets to working fastest - for internal adoption
  • Identify friction points in current workflows and propose AI-first replacements
• Measurement & Signal
  • Instrument your own work - capture usage signals, time-saved estimates, and adoption metrics from day one
  • Contribute to the org's ROI measurement framework by tagging your projects to defined value categories

Requirements

• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) - you've built something real with them
• Comfortable with Python and/or JavaScript; able to read and write production-quality code
• Familiarity with at least one agentic or automation framework (LangChain, AutoGen, n8n, Zapier + LLM, etc.)
• Strong product instincts - you think about who will use what you build and why it matters
• Able to move fast without breaking things that matter; iterative, scrappy, but deliberate
• Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or related field

Bonus Points

• Prior internship or project experience in a BizOps, RevOps, or enterprise automation context
• Experience integrating Slack, Salesforce, or finance/ops systems via APIs
• You've built something with a multi-agent architecture - even a side project counts
• Familiarity with prompt engineering, RAG pipelines, or LLM evals
• An active GitHub, portfolio, or side project that shows what you can do

Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• Learning and development stipend
• Generous PTO
• Commuter stipend (role-dependent)

Pay

The base salary range for this full-time internship position in San Francisco, New York, or Seattle is $74,400—$111,600 USD. Compensation packages include base salary, equity, and benefits, determined during the interview process based on job-related skills, experience, qualifications, interview performance, and relevant education or training.