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Auctor

Software Engineering Intern

  • Seen live on Auctor's site yesterday
  • Intern / co-op
Pay
$80 an hour USD
Location
New York
Open for
17+ days
First seen
Oct 18, 2026
Apply on Auctor's site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Auctor's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Auctor, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

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What the posting discloses

Pay
$80 an hour USD

Not stated: Real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Skills mentioned

About the role

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.

The Opportunity

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 Build

  • 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 You Bring

  • 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)

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