AI Product Operator Intern

Location: New York City, New York, United States

Salary: $20–$25 per hour

Company

hirify.global is a global payroll, Employer of Record, Agent of Record, and contractor management platform building AI-driven infrastructure for the digital economy.

What you will do

• Build and deploy full-stack internal applications, dashboards, and admin panels for Operations, Data Research, Accounting, Sales, and Marketing.
• Design multi-step AI workflows and agent systems using LLM APIs, agent frameworks, RAG pipelines, prompt engineering, output validation, and error handling.
• Develop AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge-base question answering.
• Integrate HRIS, payroll engines, CRMs, databases, Slack, email, and spreadsheets; automate reporting, reconciliation, exception handling, onboarding, invoicing, payments, and compliance data collection.
• Build sales and marketing automations for lead enrichment, CRM hygiene, outbound personalization, content generation, and prospect research.
• Ship, monitor, document, and iterate production tools using AI-assisted development tools such as Claude Code.

Requirements

• 1–2 years of software engineering experience with strong proficiency in Python and/or JavaScript/TypeScript.
• Hands-on experience building and deploying web applications with React, Next.js, Node.js, FastAPI, or equivalent technologies.
• Deep experience with Anthropic and OpenAI APIs, including prompt engineering, function calling, and structured outputs.
• Experience building multi-step AI workflows or agent-based systems.
• Knowledge of RAG architectures, vector databases such as Pinecone, Weaviate, or pgvector, and document processing pipelines.
• Comfort with SQL, PostgreSQL, REST APIs, and webhooks.
• Experience deploying and maintaining production applications with Docker and cloud platforms such as AWS, GCP, or Vercel.
• Fluency with AI-assisted development tools including Claude Code, Cursor, and GitHub Copilot.
• Strong bias toward shipping working prototypes quickly.

Nice to have

• Familiarity with n8n, Make, or Retool.
• Background in payroll, HR tech, EOR/AOR, fintech, or compliance operations.
• Experience with LangChain, LangGraph, or CrewAI.
• Understanding of global payroll compliance, tax regulations, or labor laws.

Culture & Benefits

• Work across the full stack of modern AI tooling, from LLM APIs and agent frameworks to full-stack applications.
• Ship frequently and see tools used by internal teams every day.
• Values emphasize speed, ownership, ambition, and practical execution over process and perfection.
• Success targets include shipping 2–3 internal tools in 30 days, reaching 5+ actively used tools or automations in 60 days, and owning a reliable portfolio of internal AI systems within 90 days.