Applied AI Engineer

Eagle

$150K — $300K *
Real Estate & Construction
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience with LLMs, Agent Frameworks, RAG, browser automation, or document parsing.
  • Strong communication skills to build trust with non-tech staff.
  • Comfort with ambiguity and conflicting feedback from users.
  • Curiosity about workflows, organizations, and markets.

Responsibilities

  • Embed with engineering firm staff to gather insights and build solutions.
  • Own end-to-end problem-solving: from discovery to deployment and debugging.
  • Collaborate with the CTO on shaping engineering culture and product direction.

Benefits

  • Meaningful early-stage equity.
  • Comprehensive healthcare benefits.
  • Team meals in an in-person NYC office.
Full Job Description
The opportunity

Our core thesis: 85% of what engineers do today is theoretically automatable, yet less than 5% has actually been touched by AI. That gap is the largest of any profession. Our plan is to close it by acquiring engineering firms, building purpose-built tools for their staff, and compounding that proprietary intelligence across acquisitions.

As an Applied AI Engineer, you'll work directly with the founders and staff at engineering firms to ship the initial iterations of our operating system that will power this transformation. You'll own outcomes at the edge and get a front-row seat to building a company from zero-engaging with architecture decisions, firm acquisitions, and product strategy-on a problem domain that's barely been touched by AI.

What you'll do
  • Embed with staff at engineering firms alongside the founders; then come back and build against what you saw
  • Own problems end-to-end from problem discovery to deployment to debugging in prod
  • Collaborate directly with the CTO on engineering culture, technical direction, and what we'll build next


What we look for
  • Has a deep curiosity for how things work (e.g., an organization, a workflow, a market)
  • Isn't afraid to expose their ignorance and is constantly asking why
  • Has the poise and communication skills to earn trust with people who've never worked with a tech company before
  • Can sit with noisy, conflicting feedback from users and distill it into a clear opinion about what to build
  • Is willing to get on a plane with us
  • Has experience or interest in LLMs, Agent Frameworks, RAG, browser automation, or doc parsing
  • Is not above any task: Up to write the web scraper, help users leverage off-the-shelf tools, or build the plugin for Windows native AEC software


Compensation
  • Competitive cash compensation ($150K-$300K depending on experience)
  • Meaningful early-stage equity
  • Full healthcare benefits
  • In-person office in NYC with team meals

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