AuctorAuctor

Software Engineering Intern

Added 2 months ago

Description

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

  • Catered lunch and dinners

  • Housing provided

Company

Auctor provides an end-to-end platform for professional services delivery. It ingests institutional knowledge, builds a living knowledge base, and captures discovery sessions, notes, and unstructured data. Inputs are distilled into precise, structured requirements, and scopes, proposals, plans, diagrams, configurations, and test scripts are generated in hours. Artifacts remain traceable across sales, delivery, and client teams within a single unified system, with emphasis on data privacy, encryption, and enterprise-grade controls.

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