Principal Applied AI Engineer

About this role

Our client's automated software that reads construction blueprints and extracts material and cost data for builders. We make housing and building cheaper by automating work spent on manual blueprint processing and material cost estimation.

What you'll do

• Build and train custom computer vision models and fine-tune LLMs for construction automation
• Take ownership of the intelligence layer and drive algorithmic solutions rather than just application plumbing
• Work closely with the founding team to orchestrate multiple AI models into cohesive systems
• Architect full-stack solutions using Python, React / TypeScript, and our unique tech stack (Prefect, Supabase)
• Lead technical projects from conception to deployment that directly impact construction industry workflows
• Design and implement complex systems that require creative problem-solving beyond standard algorithms

Day-to-day example

You might start your week debugging a computer vision model that processes construction blueprints, work with the team to orchestrate 7 different AI models into a unified workflow, and spend time designing algorithms to automate tedious manual processes. Last month, our team tackled automating blueprint analysis that typically takes hours of manual work, and the person in this role would have built the core ML pipeline and full-stack interface to make it production-ready. This is the kind of challenging, intelligence-focused work you'd thrive in.

Our Tech Stack

What Success Looks Like

Interview Process

2+ years of experience

Professional applied AI / CV engineer, ideally at startups or early-stage companies. Exceptional new graduates who are quick learners and demonstrate strong "hustle" are also considered.

Salary & Equity

Salary

$120k - $200k

Equity

0.5%-2.0%

Visa sponsorship not available

No visa sponsorship

Working Location

On-site work policy : On-site in San Francisco, CA. The team operates with a startup mindset, expecting a work schedule of approximately 9 AM to 7 PM, five to six days a week, with optional half-days on Saturdays for employees.

Tech stack

Python, FastAPI, Prefect, Supabase, Computer Vision, Machine Learning

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