AI Builder Intern (AI)

TL;DR

AI Builder Intern (AI Engineering): Shipping AI-powered tools and deploying agentic systems to automate internal workflows with an accent on LLM integration and rapid prototyping. Focus on designing multi-step agentic workflows, building API-connected automations, and developing functional internal UIs.

Location: United States (indicated by US Department of Labor compliance)

Company

hirify.global develops the high-quality data infrastructure and full-stack technologies that power the world's most capable AI systems.

What you will do

• Design and deploy multi-step agentic workflows using frameworks like LangChain, LangGraph, or CrewAI.
• Build API-connected automations integrating internal tools such as Slack, Salesforce, and Notion.
• Develop lightweight internal tools and functional UIs using React or JavaScript to surface AI outputs.
• Identify friction points in current workflows and implement AI-first replacements.
• Instrument work by capturing usage signals, time-saved estimates, and adoption metrics.

Requirements

• Currently enrolled in an undergraduate or graduate program in CS, data science, engineering, or a related field.
• Hands-on experience building real-world applications with LLM APIs (OpenAI, Anthropic, etc.).
• 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).
• Strong product instincts and a bias for shipping functional demos over theorizing.

Nice to have

• Experience with multi-agent architecture or RAG pipelines.
• Prior internship experience in BizOps, RevOps, or enterprise automation.
• Experience integrating Salesforce, Slack, or finance/ops systems via APIs.
• Familiarity with prompt engineering and LLM evaluations.
• Active GitHub portfolio or side projects demonstrating AI builds.

Culture & Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits and a learning and development stipend.
• Generous PTO and potential commuter stipends.
• Exposure to one of the most AI-native organizations, working on production systems.
• Fast-paced environment with a focus on craft and shipping rather than corporate reporting.