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Software Engineering Intern
Auctor · New York · On Site · Active · Ashby
Job facts
| Field | Value |
|---|---|
| Company | Auctor |
| Title | Software Engineering Intern |
| Normalized title | - |
| Department / team | Engineering / Engineering |
| Location | New York, NY, United States |
| Work model | On Site |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Ashby |
| Posted / first seen | — / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Auctor. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Ashby. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Engineering. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Auctor |
| Source | d2f1c95f-053e-488a-9c8f-4c5e785b0855 |
| ATS provider | Ashby |
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
Full job record
| Job ID | e6e93c95026c719605fcd60cb65b809a44b61875 |
| Org ID | 739d9dd8-a0fd-4b75-99cd-e5ba5117c393 |
| Source ID | d2f1c95f-053e-488a-9c8f-4c5e785b0855 |
| Board ID | d2f1c95f-053e-488a-9c8f-4c5e785b0855 |
| Provider | ashby |
| Provider Job Key | 9d67c881-3ca7-4616-a059-e94c03e19607 |
| Title | Software Engineering Intern |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York |
| Department | Engineering |
| Team | Engineering |
| Employment Type | full_time |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.ashbyhq.com/auctor/9d67c881-3ca7-4616-a059-e94c03e19607 |
| Apply URL | https://jobs.ashbyhq.com/auctor/9d67c881-3ca7-4616-a059-e94c03e19607/application |
| First Seen At | 2026-05-29 06:53:29Z |
| Last Seen At | 2026-06-06 09:33:33Z |
| Last Checked At | 2026-06-06 09:33:33Z |
| Last Changed At | 2026-05-29 06:53:29Z |
| Inactive At | — |
| Source Posted At | — |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=ashby/board=auctor/date=2026-06-06/2026-06-06T09-33-23-124Z-f96178145f8dade8e9ce45e987e5a358f5ba9074fe100051bdd713124788ebdb.json |
Event Fields
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