AI Builder Intern

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. 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 Build 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 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. 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 Legal Statements We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at View email address on click.appcast.io. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information. #J-18808-Ljbffr Scale AI