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AI Builder Intern

74k – 112kSan Francisco, CANew York, NYOnsiteEntry level
Summary

Build and ship AI-powered automation tools and agentic workflows for internal teams at Scale AI. Work with LLM APIs, agent frameworks, and modern web tooling to deliver production-grade automations.

About the role

WHAT YOU'LL BUILD

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

WHAT WE'RE LOOKING FOR

  • 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
Skills
PythonJavaScriptLangChainLangGraphCrewAIOpenAI APIAnthropic APIReactRAGPrompt Engineering
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