---
title: 'Applied AI Engineer at arxtalent.com'
canonical: 'https://feeny.ai/job/applied-ai-engineer-arxtalent-com-new-york-b7rf0paadd7t'
type: 'job'
last_seen: '2026-09-05'
---

# Applied AI Engineer at arxtalent.com

- **Company:** arxtalent.com
- **Location:** New York, NY
- **Compensation:** $170k–$230k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-01-21
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.gem.com/arxtalent/am9icG9zdDrasZFtkycUgiIQa8Isoe6D

## Job description

The Company:

We are a high-growth, venture-backed startup rethinking the recruitment landscape through an AI-native marketplace. Having recently secured a significant seed round from top-tier investors, we have achieved strong product-market fit and are scaling rapidly to meet massive market demand. Our business model leverages cross-sided network effects that compound as foundation models improve. We are currently a lean, high-output team looking for a "high-horsepower" engineer to help us increase capacity and navigate an expansive long-term roadmap.

The Role:

As one of the first engineers, you will own the applied AI systems that power our marketplace end-to-end. This is a builder-centric role focused on production-grade AI rather than theoretical research. You will partner directly with the founder and operations team to translate real-world feedback into scalable product features.

Role Composition:

- 60% Applied AI/ML: Model selection, prompting, fine-tuning, evaluation, and experimentation.
- 40% Full-Stack Implementation: Building APIs, backend services, data pipelines, and UI integrations.

Key Responsibilities: Matching & Scoring Systems

- Refine candidate-job matching algorithms to improve placement quality and speed.
- Develop calibration tools that allow users to preview AI scoring logic.
- Implement systems to analyze previous rejections and surface promising new candidates.
- Build intelligent notification systems ranked by business value and fit. Internal Automation & Operations
- Automate manual marketplace operations with intelligent workflows.
- Create AI-powered flagging for candidates or submissions requiring manual intervention.
- Develop feedback loops where the system learns from operational overrides to improve accuracy. External-Facing AI Features
- Generate automated candidate summaries based on resumes, notes, and transcripts.
- Deploy retrieval-based assistants (RAG) to answer real-time questions about specific roles.
- Build suggestion engines and one-click submission features with pre-filled data. Platform & Strategy
- Design evaluation protocols to measure model impact in production environments.
- Build internal infrastructure for offline evaluation and A/B testing.
- Stay current with emerging AI methods, making pragmatic decisions on which technologies to adopt.
- Collaborate on the long-term AI roadmap to balance rapid growth with technical durability.

Qualifications: Required Experience

- 4+ years of software engineering experience, with a proven track record of shipping AI/LLM features in a production environment.
- End-to-end project ownership, from data pipeline design and model selection to deployment and iteration.
- Technical Proficiency: Deep experience with LLM APIs, embeddings, vector databases, and fine-tuning.
- Full-Stack Capability: Strong foundations in backend web development and API design. Preferred Attributes:
- Experience in a founding team or an early-stage, high-growth startup.
- Background in HR-tech or recruitment marketplaces.
- Academic background from a top-tier technical institution (e.g., Stanford, MIT, CMU, Berkeley).

## About arxtalent.com

## Company Overview
- **One-liner**: Arx is a venture-backed recruiting and staffing firm that provides AI-powered, asynchronous hiring services, including fixed-scope 'hiring sprints' and expert-labeled candidate datasets, for growth-stage companies.
- **Entity Type**: Private (Venture-Backed; recently secured a seed round)
- **Headquarters**: New York, New York, United States
- **Founded**: Not publicly available (recently active on LinkedIn since at least 2023-2025)
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Staffing and Recruiting / Human Resources Technology (HR Tech) / Professional Services
- **Target customers**: B2B; specifically growth-stage startups and technology companies needing senior-level hires (e.g., Founding Engineer, Site Reliability Engineer) and high-volume, speed-oriented recruitment.
- **Mission or purpose statement**: "Whether you’re building something new, refining what’s in motion, or gearing up for what’s next, Arx helps you find the right trajectory." Their approach emphasizes data-driven, asynchronous, and AI-native recruitment to replace traditional, slow processes.

## Products & Services
- **AI-Powered 'Hiring Sprints'**: Fixed-scope, fixed-price engagements that deliver five pre-vetted candidates in a live pipeline within seven days. Replaces traditional recruiter calls with a portal-based system for candidate review and scheduling.
- **Expert-Labeled Candidate Datasets**: Deployment of data built by operators to provide real, verifiable skills data on candidates, moving beyond traditional resume screening.
- **Marketplace for Senior Roles**: An AI-native marketplace that matches senior talent (e.g., founding engineers, SREs) with growth-stage companies. Uses candidate-job matching algorithms and AI scoring logic.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding – Recently secured a "significant seed round" from top-tier investors. Exact amount not disclosed.
- **Notable Investors/Partners**: "Top-tier investors" (exact names not publicly listed); partners include growth-stage companies hiring for senior engineering roles. Their LinkedIn shows they actively post founding-engineer roles for an "early-stage partner" that is SF-based and well-funded.
- **Growth Signals**: 
  - LinkedIn follower count grew +200% year-over-year (though from a very small base of ~78 followers).
  - Claims strong product-market fit and rapid scaling to meet "massive market demand."
  - Cross-sided network effects from their AI-native marketplace.
  - High-demand services (e.g., 7-day hiring sprints for senior roles) suggest strong niche traction.

## Competitive Advantages
- **Speed & Efficiency**: 7-day delivery of a live pipeline of 5 vetted candidates is a key differentiator vs. traditional 4-8 week timelines.
- **AI-Native Core**: Uses applied AI/LLM features (matching algorithms, calibration tools, rejection analysis, AI-powered flagging, RAG assistants) to automate and scale the recruitment process, reducing manual effort.
- **Asynchronous / Portal-Based**: Replaces endless recruiter calls with an asynchronous, portal-based system for candidate review, appealing to busy hiring managers.
- **Operator-Built Data**: Focus on "expert-labeled datasets" built by operators, not just resume data, to improve candidate quality and authenticity.

## Strategic Focus
- **Product Expansion**: Continue building out their AI-native marketplace, including candidate-job matching, AI scoring, automated candidate summaries, and retrieval-based assistants.
- **Scaling the Platform**: With a lean, high-horsepower engineering team, they are focused on shipping fast and scaling the marketplace to capture demand.
- **Hiring Sprints Growth**: Likely expanding the "hiring sprint" model for more roles and companies, positioning it as a standardized, reliable service.

## Why Work Here
- **High-Impact Role**: As one of the first engineers (Applied AI Engineer / Founding Engineer for partner companies), you will own roadmap pieces from 0→1, talk directly with customers, and set engineering standards.
- **Growth Trajectory**: A venture-backed startup at an early stage, with strong product-market fit and rapid market demand. Offers significant equity (0.3–1%) and competitive salary ($120–200k).
- **Technology Stack**: Focus on production-grade AI (LLMs, embeddings, vector databases, fine-tuning), full-stack implementation (TypeScript, React, Node, Go, Python, AWS/GCP, Kubernetes, Terraform). Opportunity to stay at the cutting edge of AI in HR tech.
- **Work Environment**: Lean, high-output team; "low ego, high ownership" culture. In-person collaboration required (Hybrid – mostly in San Francisco office; on-site for the early-stage partner role; relocation and perks covered). The company also has a New York headquarters.
- **Candidates from Top-Tier Technical Backgrounds Welcome**: The Applied AI Engineer job explicitly mentions academic background from top-tier technical institutions (e.g., Stanford, MIT, CMU, Berkeley) as a plus, but other roles emphasize experience and ownership over prestige.

## Sources
1. [LinkedIn Company Page](https://linkedin.com/company/arx-ts)
2. [Built In Company Profile](https://builtin.com/company/arx-talent)
3. [Built In Jobs – Senior Site Reliability Engineer](https://builtin.com/company/arx-talent/jobs)
4. [Teal HQ – Applied AI Engineer Job Posting](https://www.tealhq.com/job/applied-ai-engineer_7ea1a45ff51a3c59a0881bb028c84f2663f58)
5. [LinkedIn Post – Hiring a Founding Engineer for an Early-Stage Partner](https://www.linkedin.com/posts/arx-ts_were-hiring-a-founding-engineer-for-one-activity-7377109411439222784-zIjo)
6. [Company Website](https://arxtalent.com)

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