Founding AI Engineer

David Joseph & Company
San Francisco, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 200K

Job location

San Francisco, United States of America

Tech stack

Artificial Intelligence
Computer Vision
Information Engineering
TypeScript
Backend

Job description

A deeply self-directed founding AI engineering role owning the full experiment loop to improve the accuracy of the client's multimodal blueprint-compliance agents. The work is heads-down and technical, with a small amount of weekly user contact - not a forward-deployed role.

What you'll be doing

  • Spend the majority of your time improving the accuracy of the multimodal blueprint-compliance agents - building autoresearch, improving evals, and running sweeps on experimental features you design.
  • Own the full experiment loop: generating ideas, implementing them, and rigorously analyzing results on the eval framework.
  • Become a domain expert on the parts of the building code that matter (accessibility, wildland-urban interface, structural and fire safety).
  • Wear hats as needed: computer-vision experiments, lightweight data engineering, internal tooling, and webapp improvements.
  • Roughly two hours a week of user contact and product dogfooding.

Tech stack: Tech-stack agnostic; TypeScript across front-end and back-end. Modern AI coding tools used throughout.

Requirements

  • Highly independent and self-unblocking; able to direct your own work with minimal oversight.
  • Fast-moving and prototype-oriented; you ship experiments quickly.
  • Strong evaluation discipline and genuine research taste for high-risk, high-reward work.
  • Either a strong software engineer eager to grow into ML/AI, or an ML/AI engineer who already prototypes fast.
  • Comfortable across the stack (TypeScript front-end and back-end).
  • Genuinely motivated by the mission of making housing more affordable.
  • Able to work on-site in San Francisco full-time, approximately 55 hours/week with some weekend availability.

Nice to Haves

  • Experience at an autonomous-vehicle company, where rigorous evaluation is second nature.
  • Background in highly regulated applied-AI domains (e.g. medical or legal) where evaluation discipline is critical.
  • Climate-tech or other mission-driven startup experience.
  • Strong academic background.
  • Genuine curiosity for digesting dense technical and regulatory material (building codes, technical diagrams).

Benefits & conditions

$160,000 - $200,000 a year - Full-time, Pulled from the full job description

  • Food provided
  • Health insurance
  • Health savings account

About the company

Our client is a seed-stage startup building agentic AI for the built world: multimodal agents that review construction blueprints for buildability and code compliance, becoming domain experts on rules like accessibility and fire-safety codes. They are the technical leader in their space, and their mission is to make housing more affordable - one of the very few places in tech where an engineer works directly on the housing crisis. This is a founding-engineer seat on a tiny, high-ownership team. Founded 2025 · 1-10 people · Industry: Property Tech

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