---
title: 'Software Engineer, Applied AI at Auctor'
canonical: 'https://feeny.ai/job/software-engineer-applied-ai-auctor-new-york-hjzqtm4nk7jc'
type: 'job'
last_seen: '2026-09-09'
---

# Software Engineer, Applied AI at Auctor

- **Company:** Auctor
- **Location:** New York, NY
- **Compensation:** $175k–$290k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-04-02
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/auctor/ca5b0c44-cafb-48ad-99fa-84aa3cfc5179

## 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 Software Engineer, Applied AI at Auctor, you will design, build, and improve the core systems behind our agents in production.

This role sits at the boundary of engineering and empirical research. You will work across retrieval, document understanding, tool use, context management, prompting, and orchestration. Some weeks you will be shipping new capabilities. Some weeks you will be mining production traces, designing evals, and figuring out which part of the system is actually failing.

We are not looking for someone to glue an API onto a product and call it AI. We are looking for someone who wants to build real agent systems, understand how they behave in the wild, and use that understanding to make bold product and architecture decisions.

This role is based in New York, NY, in person 5 days per week.

## WHAT YOU'LL DO

- Build and improve the core systems behind our agents across retrieval, tool use, document understanding, memory, and orchestration
- Design evals and experiments that help us understand agent quality in production
- Turn traces, failures, and user behavior into concrete product and architecture decisions
- Work closely with operations, GTM, and deployed teams to understand real workflows and where agents break down
- Evaluate models, prompts, and system designs across real enterprise tasks
- Own the loop from idea -> implementation -> measurement -> iteration

## WHAT WE'RE LOOKING FOR

- Strong engineering fundamentals and the ability to ship production systems
- Fluency in Python
- Experience building or working on LLM-powered products, agent systems, or adjacent applied AI systems
- An empirical mindset — you reach for logs, traces, experiments, and real usage before guessing
- Strong systems taste — you understand that retrieval, prompting, memory, tools, and UX interact
- High ownership and comfort working in ambiguity
- Strong opinions about what makes agent systems actually work

## STRONG CANDIDATES MAY ALSO HAVE

- Experience with retrieval, search, or ranking systems
- Experience designing evals, benchmarks, or feedback loops for LLM systems
- Experience building internal tools, workflow products, or operator-facing systems
- Experience in startups or other high-ownership environments

## EXAMPLE PROJECTS

This is a new field. We care much more about what you have built than whether your background fits a standard template.

Projects that would make us excited include:

- Designing and shipping an agent harness that materially improved performance on a real task
- Building an eval or benchmark that changed what your team decided to build next
- Designing tool interfaces, memory systems, or retrieval systems for an LLM-powered product
- Building a production workflow around language models that users actually depended on
- Running a careful experiment on prompting, model routing, or orchestration and using it to drive a product decision

If you apply, we would love to see one thing you built with LLMs or agents. It does not need to be perfect or flashy. We mostly want to understand how you think, what you owned, what you learned, and what tradeoffs you made.

## COMPENSATION

$175,000-$290,000 base salary, plus equity.

## BENEFITS:

- Equity with real upside – you're joining early, and your equity reflects that
- Competitive, top-of-market salary
- Medical, dental, and vision coverage
- Monthly wellness stipend
- Unlimited PTO – take the time you need
- Daily meal stipend, plus dinner covered on the nights you're working late
- Weekly happy hours and team outings because work is better with people you actually like

## About Auctor

## Company Overview
- **One-liner**: Auctor provides an AI-native system of action for the full lifecycle of software implementations, helping services teams and system integrators deliver projects faster and more consistently.
- **Entity Type**: Private (Series A – $20M raised)
- **Headquarters**: New York, New York, United States
- **Founded**: 2025
- **Founders**: William Sun (CEO Co-Founder), Xinan Rahman (Co-Founder), Matthew Blackburn (Co-Founder)

## Core Business
- **Primary industry**: Software Development / AI for enterprise software implementation and post-sales delivery.
- **Target customers**: B2B – services teams, system integrators, and professional services organizations that implement complex enterprise software.
- **Mission or purpose statement**: “Bring alignment and intelligence to software implementation, enabling every project to deliver its intended value with clarity and precision.” [linkedin.com](https://www.linkedin.com/company/getauctor)

## Products & Services
- **Auctor Platform (SaaS)**: The central AI system that connects pre-sales, delivery, and post-go-live. Capabilities include AI-generated deliverables (SOWs, scopes, flows, user stories), live meeting transcription and action-item extraction, conflict/scope creep detection, traceable requirement linking, and context-rich handoffs. Integrates with tools like Slack, Microsoft Teams, Zoom, Google Meet, Jira, Linear, Salesforce, HubSpot, Confluence, and Gong. [getauctor.com](https://www.getauctor.com/product)

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company).
- **Key Metric**: Total Funding – $20.625M (Series A $20M led by Sequoia Capital, pre-seed $500K from Y Combinator, and seed $125K). [getauctor.com](https://www.getauctor.com/series-a-announcement)
- **Notable Investors/Partners**: Sequoia Capital (lead), Y Combinator, M12 (Microsoft’s Venture Fund), Workday Ventures, HubSpot Ventures, OneStream, Tercera, Dig Ventures. [getauctor.com](https://www.getauctor.com/series-a-announcement)
- **Growth Signals**: Headcount grew +414.3% YoY to 22 employees (monthly growth +12.5%). LinkedIn followers increased +160.4% YoY to 7,615. 13 active job postings. Early customers report up to 80% efficiency gains in discovery and design phases. Backed by prominent enterprise investors, signaling strong market validation. [linkedin.com](https://www.linkedin.com/company/getauctor) | [getauctor.com](https://www.getauctor.com/series-a-announcement)

## Competitive Advantages
- **First-mover in a white space**: Systems integration and implementation software is a large, underserved category with no established leader.
- **AI-native architecture**: Purpose-built for the implementation lifecycle, not a generic project management tool. Compounding intelligence across projects makes each engagement more repeatable.
- **Deep integrations**: Connects with the major CRM, collaboration, and delivery tools used by enterprise services teams.
- **Strong investor backing**: Sequoia Capital, Microsoft’s M12, Workday, HubSpot, and others provide credibility and ecosystem access.
- **Traceability + audit trail**: Every requirement, decision, and change is linked, providing a single source of truth and proof of performance.

## Strategic Focus
- Continue building the “system of action” for every implementation, expanding integrations and AI capabilities.
- Scale the team (currently 22 employees, growing rapidly) with a focus on engineering, product, and go-to-market roles.
- Deepen customer adoption among large system integrators and enterprise services teams.
- Establish the new category of “AI implementation platforms” and become the standard for post-sales delivery.

## Why Work Here
- **Culture & values**: “Respect. Attention to Detail. Creative. Bias Towards Action.” These are actively used in hiring and decision-making. [getauctor.com](https://www.getauctor.com/careers)
- **Work environment**: On-site in New York City. All current roles are full-time, on-site. The team is small, giving every member outsized impact.
- **Benefits**: Health insurance, gym membership stipend, meals provided, late-night transportation, unlimited PTO. [getauctor.com](https://www.getauctor.com/careers)
- **Engineering culture**: Building an AI-native product from scratch in a massive, unoccupied market. Engineers work on real-world deployment with direct customer feedback. Emphasis on attention to detail and creative problem-solving.
- **Growth trajectory**: Early-stage company backed by top-tier investors; employees shape the product, culture, and trajectory. Strong career growth potential for those who thrive in a fast-paced, ambiguous environment.

## Sources
1. [getauctor.com](https://www.getauctor.com/) – Company homepage and product overview
2. [getauctor.com/careers](https://www.getauctor.com/careers) – Careers page with open roles, values, and benefits
3. [getauctor.com/product](https://www.getauctor.com/product) – Detailed product features and integrations
4. [linkedin.com/company/getauctor](https://www.linkedin.com/company/getauctor) – LinkedIn company profile with funding, headcount, and employee data
5. [getauctor.com/series-a-announcement](https://www.getauctor.com/series-a-announcement) – Series A announcement with investor details and customer results

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