Eagle
Engineering
StaffSoftwareEngineer
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Software Engineer at Eagle. Skills: Platform development, AI integration, User feedback analysis. Embed with staff. Build against observations”
What You'll Achieve.
Own long term vision; Synthesize value; Compound value over time
Industry & Context.
Distill feedback
Willing to get on a plane
What They're Looking For.
Must Have
Experience or interest in LLMs, Experience or interest in Agent Frameworks, Experience or interest in RAG, Experience or interest in browser automation, Experience or interest in doc parsing
Nice to Have
Deep curiosity for how things work, Willing to get on a plane
What You'll Do.
Build against observations
Own problems end-to-end
Build core platform layers
Build data connectors
Build document intelligence
Build structured knowledge store
How You'll Work.
Team & Collaboration
Directly with CTO; With users; With engineering firms
Communication Scope
Earn trust; Distill feedback
Full Job Description
About Eagle We’re on a mission to radically transform the way we design and construct our built environment. Backed by Lightspeed Venture Partners, Eagle acquires and transforms civil, structural, and MEP engineering firms with applied AI. We’re an AI laboratory dedicated to providing engineers with the tools they need to solve the world’s hardest infrastructure, energy, and climate problems. By arming designers with frontier technology, our ambition is to build the most valuable, talent-dense engineering firm in the United States. 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 a Staff Software Engineer, you'll work directly with the CTO to own the long term vision of our platform. We'll all be building at the edge with our users, but the value created here needs to be synthesized into a cohesive offering that compounds in value over time. You 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 - Build and deploy the core layers of our platform: data connectors, document intelligence, and a structured knowledge store that gets richer with time 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 - H
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