Applied AI Engineer

Eagle • New York City, NY

3h

About The Position

Eagle is an AI native platform on a mission to unleash engineering services for the built environment. We acquire and scale world-class engineering firms by putting proprietary technology into the hands of the engineers who design our nation’s critical infrastructure (think water systems, power utilities, bridges, and more). Our ambition is to create the first AI-native engineering design firm to meet the country's generational energy, climate, and infrastructure needs. We're backed by Lightspeed Venture Partners , a global venture capital firm . https://www.eagleeng.com/ Eagle was founded by Mayank (Penn, ex-Bloomberg, ex-Ethic) and Sohum (Penn M&T, ex-Long Ridge)

The Role
Eagle is seeking an Applied AI Engineer to build systems that automate the most time-consuming parts of civil engineering. Our goal is unleash civil, structural, and MEP engineers to focus on design, not documentation. You'll work alongside civil engineers daily, translating real-world infrastructure challenges into production AI solutions for water, transportation, and utility projects.

Requirements

• 5+ years of experience in software engineering, with 2+ years focused on applied AI/ML
• Hands-on experience building and deploying LLM-based applications in production
• Strong Python skills and familiarity with ML frameworks (PyTorch, HuggingFace, etc.)
• Experience with RAG architectures, prompt engineering, and/or fine-tuning
• Comfort with ambiguity—you can take a fuzzy problem and figure out what to build

Nice To Haves

• Experience with computer vision, CAD file formats, or spatial data
• Background in engineering, AEC, or other technical domains

Responsibilities

• Collaborate directly with civil engineers to understand domain-specific workflows and translate them into AI-powered tools
• Build AI systems that automate drafting, calculations, and documentation — freeing engineers to focus on higher-value design work
• Develop spatial reasoning models that can interpret blueprints and generate preliminary designs for standard infrastructure projects
• Create agents that synthesize regulatory standards, run modeling simulations, and automate repetitive engineering tasks
• Integrate LLMs and multimodal models into production workflows that serve real engineering teams
• Own the full lifecycle — from prototyping and experimentation to deployment and iteration

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed