Posting record
Open 17+ days
- Auctor's site dates the posting
- Ghostless first sees this listing
- 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?
See how much of this posting your resume shows, and what it's missing.
Upload your resumeWhat the posting discloses
- Pay
- $250k to $350k a year 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. Think of us as the brain behind the best solution engineers, forward-deployed engineers, and onboarding teams— automating the documentation, the discovery, and the decision-making that powers $400B+ in services work. We’re going after one of the biggest software categories of the decade.
The Opportunity
As a Backend Software Engineer at Auctor, you will own and lead engineering projects across our software offerings. You will work closely with our operations, GTM, and deployed services teams to build state-of-the-art systems that provide value to our customers.
We’re looking for people who want to do the most meaningful work of their career—people who are sharp, fast, and relentless. No fluff. Just speed, execution, and a shot to build something generational.
This role is based in New York, NY, in person 5 days per week.
What You'll Build
- Retrieval over large corpora of enterprise documents
- Backend infrastructure for AI-powered collaborative workflows
- Building multi-step planning agents for enterprise project management
- Enterprise-grade security for sensitive organizational data
- Evaluating LLMs across document generation and synthesis tasks
- Data ingestion pipelines from enterprise integrations (Confluence, Jira, SharePoint, etc.)
What You Bring
- 4+ years (post-BS/MS) of backend-focused software engineering experience on product-centric teams
- Track record of building fast-growing SaaS products
- Experience building backend platforms that can support multiple product lines
- Strong programming skills and general Computer Science knowledge
- Experience architecting scalable systems to support rapid growth and enterprise-level traffic
- Grit - experience working at early-stage startups is a plus
Something wrong with this posting?