About the role
structured by ORIWHY AUCTOR Auctor is building the AI layer for professional-services and software-implementation work—the “brain” behind the best solution engineers, forward-deployed engineers, and onboarding teams. We automate the discovery, documentation, and decision-making that drives $400B+ in services every year.
What you will do
- Contribute features to our Next.js + Python stack, from API to UI
- Prototype and benchmark LLM-powered agentic workflows
- Build retrieval pipelines over large, messy enterprise datasets
- Write clean, well-tested code and see it hit production the same week
- Demo your work directly to customers and the leadership team
What they are looking for
- Solid programming foundations (data structures, algorithms, networking basics)
- Proficiency in Python and TypeScript (or a strong desire to learn)
- Curiosity about LLMs, vector databases, and scalable infra
- A bias for action—hack first, polish second, always deliver
- Ability to work on-site in NYC at least 5 days/week (we’re in-person, fast, and collaborative)
Benefits
- Early-stage equity for returning interns / full-time offers
- Daily meal stipend, plus dinner covered on the nights you're working late
- Weekly happy hours and team outings
- Housing provided
Full posting text
WHY AUCTOR Auctor is building the AI layer for professional-services and software-implementation work—the “brain” behind the best solution engineers, forward-deployed engineers, and onboarding teams. We automate the discovery, documentation, and decision-making that drives $400B+ in services every year. The category is massive and still wide-open. INTERNSHIP OVERVIEW Join us in New York City for 10–12 weeks and help build the next generation of AI-powered workflow tools. You’ll pair with engineers on projects that ship to real customers—no toy tasks or shadow assignments. WHAT YOU’LL DO - Contribute features to our Next.js + Python stack, from API to UI - Prototype and benchmark LLM-powered agentic workflows - Build retrieval pipelines over large, messy enterprise datasets - Write clean, well-tested code and see it hit production the same week - Demo your work directly to customers and the leadership team WHAT WE’RE LOOKING FOR - Solid programming foundations (data structures, algorithms, networking basics) - Proficiency in Python and TypeScript (or a strong desire to learn) - Curiosity about LLMs, vector databases, and scalable infra - A bias for action—hack first, polish second, always deliver - Ability to work on-site in NYC at least 5 days/week (we’re in-person, fast, and collaborative) COMPENSATION $80.00 per hour PERKS & BENEFITS - Early-stage equity for returning interns / full-time offers - Daily meal stipend, plus dinner covered on the nights you're working late - Weekly happy hours and team outings because work is better with people you actually like - Housing provided