Why This Role Stands Out
This role offers an exceptional opportunity to shape the future of AI in professional services, with the chance to lead impactful engineering projects and build something generational. You'll thrive here if you're a sharp, execution-driven backend engineer eager to contribute to a rapidly growing, reputable company at the forefront of technological innovation.
Quick Overview
Job Description
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.
Role Overview
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.
About the Role
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.)
Required Qualifications
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
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