AI Builder Intern

Scale AI, Inc.; San Francisco (CA); On-site; USD 74,400 - 111,600; Full time

Benefits offered by this job

Comprehensive health, dental, and vision coverage

Retirement benefits

Generous PTO

Learning and development stipend

Commuter stipend

Job summary

Scale AI, Inc. in San Francisco is looking for an AI Builder Intern to join the Data & Technology team. The role entails building AI-powered tools, automating workflows, and collaborating with engineers and data scientists on live automation initiatives.

As an intern, you will work on deploying multi-step workflows with LLM frameworks like LangChain or CrewAI, and develop internal tools that enhance business operations. This internship provides the opportunity to create impactful solutions, refine your technical skills, and gain relevant experience in a fast-paced environment.

Compensation ranges from $74,400 to $111,600 USD annually, with comprehensive benefits and opportunities for project ownership.

Qualifications

• Experience with LLM APIs like OpenAI or Anthropic.
• Solid coding skills in Python or JavaScript.
• Familiarity with automation frameworks.
• Strong instincts for product design and user needs.
• Ability to iterate rapidly while maintaining quality.

Responsibilities

• Design and deploy multi-step workflows with LLM frameworks.
• Build internal tools and dashboards to surface AI outputs.
• Instrument work to capture metrics and signals.
• Contribute to ROI measurement frameworks.

Skills

LLM APIs

Python

JavaScript

Automation frameworks

Product instincts

Education

Enrollment in undergraduate or graduate program in CS, data science, engineering

Tools

LangChain

Slack API

Salesforce API

Job description

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 such as 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 JavaScript, 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 a 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 evaluations.
• An active GitHub, portfolio, or side project that shows what you can do.

WHY SCALE AI

Scale AI is building the data infrastructure behind the world's most capable AI systems. As an AI Builder Intern on the Data & Technology team, you'll work inside one of the most AI-native organizations in the world—deploying the same tools you're learning about in an environment where the stakes are real and the pace is fast.

You'll leave with production systems in your portfolio, not decks. And you'll work alongside people who think deeply about how AI transforms the way organizations actually run.

COMPENSATION & BENEFITS

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new‑hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job‑related skills, experience, qualifications, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity‑based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits—including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Base salary range for this full‑time position in the locations of San Francisco, New York, and Seattle is: $74,400—$111,600 USD.

EEO & DISABILITY 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 [e-mail]. Please see the Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision.

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