AI Builder Intern: Ship Agentic Workflows & Tools

Scale AI, Inc.; New York (NY); On-site; USD 74,400 - 111,600; Full time

Benefits offered by this job

Equity-based compensation

Comprehensive health, dental, and vision coverage

Learning and development stipend

Generous PTO

Job summary

Scale AI, Inc. is offering an AI Builder Intern role in New York, where you'll engage directly with engineers and data scientists to build and ship AI-powered tools and automate workflows. In this hands-on internship, you will design multi-step workflows and internal products that integrate seamlessly with various tools while capturing vital metrics.

The ideal candidate is enrolled in a relevant undergraduate or graduate program, has experience with LLM APIs, and is capable of building practical solutions swiftly. This internship not only provides valuable experience but also the opportunity to contribute to live initiatives.

Qualifications

• Hands-on experience with LLM APIs (OpenAI, Anthropic).
• Familiarity with automation frameworks (LangChain, AutoGen, etc.).
• Strong product instincts and able to iterate quickly.

Responsibilities

• Design and deploy agentic workflows using LLM-integrated frameworks.
• Develop internal tools that surface AI outputs to business teams.
• Capture usage signals and contribute to ROI measurement.

Skills

LLM APIs experience

Familiarity with automation frameworks

Strong product instincts

Ability to move fast

Education

Currently enrolled in CS, data science, engineering or related field

Tools

LangChain

React

Slack

Salesforce

Job description

Scale AI, Inc. is offering an AI Builder Intern role in New York, where you'll engage directly with engineers and data scientists to build and ship AI-powered tools and automate workflows. In this hands-on internship, you will design multi-step workflows and internal products that integrate seamlessly with various tools while capturing vital metrics.

The ideal candidate is enrolled in a relevant undergraduate or graduate program, has experience with LLM APIs, and is capable of building practical solutions swiftly. This internship not only provides valuable experience but also the opportunity to contribute to live initiatives.