AI Engineer (Senior/Staff)

Recruiting From Scratch

  • New York
  • 30+ days ago
  • Remote

    Highlights

    The platform acts as an intelligent operational graph across enterprise infrastructure — integrating data from MDMs, vulnerability scanners, ticketing systems, and internal tooling to power autonomous AI investigation and remediation agents. If you want deep ownership, rapid product velocity, customer-facing AI systems experience, and the opportunity to shape how AI agents operate inside enterprise environments, this role offers exceptional scope and leverage.

    Numbers & Facts

    LocationNew York (
    Remote
    )
    Websiterecruitingfromscratch.com

    Description

     
    Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.

    AI Engineer (Senior/Staff)

    Location: New York, NY or Miami, FL (Hybrid On-site)
    Company Stage of Funding: Seed-stage
    Office Type: Hybrid
    Salary: $180,000 – $240,000 + Competitive Equity
    Visa: Sponsorship available (including transfers and O-1 support)

    Company Description

    Our client is building an AI-native IT operations platform designed to proactively detect, investigate, and remediate enterprise IT issues before they disrupt users.

    The platform acts as an intelligent operational graph across enterprise infrastructure — integrating data from MDMs, vulnerability scanners, ticketing systems, and internal tooling to power autonomous AI investigation and remediation agents.

    This is an opportunity to join an extremely early-stage, high-conviction team building the intelligence layer for modern IT operations. The company has already secured enterprise design partners at publicly traded companies and is backed by top-tier investors and operators from companies like Palantir, Datadog, and Google Gemini.

    The role offers deep ownership over production AI agents, evaluation systems, retrieval and reasoning pipelines, and customer-facing AI workflows.

    What You Will Do

    Build and own production AI investigation agents that diagnose and remediate enterprise IT issues

    Develop query agents that translate natural language into structured semantic queries

    Build evaluation frameworks, metrics systems, and feedback loops for production AI systems

    Design and maintain retrieval and reasoning pipelines across complex enterprise datasets

    Work with multi-source enterprise data including ticketing systems, MDMs, scanners, and operational tooling

    Ship production-grade AI agents and workflows used directly by enterprise customers

    Develop scalable LLM-powered systems with strong reliability and observability

    Use AI coding tools such as Cursor, Claude Code, and ChatGPT extensively in daily workflows

    Work directly with enterprise design partners to understand operational pain points and rapidly ship solutions

    Own systems end-to-end from architecture through production deployment

    Contribute to AI infrastructure, agent orchestration, evaluation quality, and reasoning pipelines

    Operate in a highly autonomous, fast-moving engineering environment

    Collaborate closely with founders, engineers, and customers

    Help shape the long-term AI architecture and product direction

    Ideal Candidate Background

    2–8 years of software engineering or AI engineering experience

    Strong production AI agent development experience

    Experience building and shipping AI systems as part of a core product

    Strong Python engineering skills

    Experience building on top of LLMs in production environments

    Strong understanding of AI evaluation systems, metrics, and failure modes

    Experience with retrieval, reasoning, or agentic workflows

    Experience operating in high-growth startup environments

    Strong ownership mentality and product instincts

    Comfortable working directly with customers

    Strong communication and collaboration skills

    Experience integrating AI coding assistants into daily workflows

    Comfortable operating autonomously with minimal structure

    Willing to work hybrid onsite in NYC or Miami

    Strong Signals

    Experience at AI-native or enterprise AI companies

    Experience building production AI agents at Series A+ startups

    Founding engineer or ex-founder background

    Strong opinions around AI evals, reliability, and production failure modes

    Experience with agentic workflows and autonomous systems

    Deep usage of Cursor, Claude Code, v0, or similar tooling

    Experience building customer-facing AI products

    Strong product engineering intuition

    Experience with enterprise AI systems or infrastructure

    Experience with retrieval-augmented generation and semantic systems

    Evidence of rapid ownership and career progression

    Top-tier CS school background

    Active side projects or involvement in the AI ecosystem

    Strong startup intensity and execution velocity

    Ability to rapidly prototype and ship AI systems

    Compensation and Benefits

    Base salary: $180,000 – $240,000

    Very competitive equity package

    Direct ownership over core AI product systems

    Work alongside a highly technical founding team

    Opportunity to shape the intelligence core of the platform

    Exposure to large-scale enterprise AI infrastructure challenges

    Fast-moving startup with significant market opportunity

    Clear path toward technical leadership and organizational influence

    Work directly with enterprise customers and design partners

    Backed by experienced investors and operators from top AI and infrastructure companies

    Visa sponsorship and relocation support available

    Why Join

    This is an opportunity to help build autonomous AI systems for enterprise IT operations at the earliest stage of company formation.

    You’ll own production AI agents, evaluation systems, retrieval pipelines, and reasoning infrastructure inside a highly ambitious AI-native startup targeting a massive enterprise market.

    If you want deep ownership, rapid product velocity, customer-facing AI systems experience, and the opportunity to shape how AI agents operate inside enterprise environments, this role offers exceptional scope and leverage.

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