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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 → 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 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