AI Builder Intern

Responsibilities

• Design and deploy multi-step agentic workflows using LLM-integrated frameworks like LangChain, LangGraph, or CrewAI
• Build API-connected automations to integrate internal tools such as Slack, Salesforce, and Notion
• Develop lightweight internal tools and dashboards using React, JavaScript, or other rapid prototyping methods
• Identify workflow friction points and propose AI-first replacements
• Instrument all projects to capture usage signals, time-saved estimates, and adoption metrics

Requirements

• Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and building real-world applications with them
• Proficiency in Python and/or JavaScript with the ability to write production-quality code
• Familiarity with at least one agentic or automation framework (e.g., LangChain, AutoGen, n8n, or Zapier + LLM)
• Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or a related field
• Strong product instincts and a bias for building and shipping over theorizing

Preferred Qualifications

• Prior internship or project experience in BizOps, RevOps, or enterprise automation
• Experience integrating enterprise systems like Salesforce or Slack via APIs
• Experience building multi-agent architectures or RAG pipelines
• Familiarity with prompt engineering and LLM evaluations
• An active GitHub or portfolio demonstrating technical side projects

About the Company

Scale AI is building the data infrastructure behind the world's most capable AI systems. We provide the high-quality data and full-stack technologies that power the world's leading models, helping enterprises and governments build, deploy, and oversee impactful AI applications.