Founding AI Engineer

JeffreyM Consulting • San Francisco, CA

23h • Onsite

About The Position

We're seeking a highly autonomous Founding AI Engineer to join a seed-stage agentic AI company applying multimodal AI to construction and architecture. Its agents analyze blueprints to determine whether buildings are safe, buildable, and compliant with regulations such as ADA, Wildland-Urban Interface, structural, and fire-safety requirements. This is a highly autonomous founding engineering role focused primarily on improving the accuracy of multimodal agents. The core workflow is: HYPOTHESIS → EXPERIMENT → IMPLEMENT → EVALUATE → ANALYZE → ITERATE. Most of the engineer's time will be spent designing and running experiments against the evaluation framework rather than interacting with customers. The role can fit either a strong software engineer moving into AI research or an established AI/ML engineer who is also a fast builder.

Requirements

• 3+ years professional experience
• Extremely independent and self-directed. Able to unblock themselves without constant guidance.
• High-velocity prototyping and shipping.
• Strong software engineering or AI/ML engineering background.
• Rigorous understanding of evaluation/evals.
• Strong experimental/research instincts. Able to generate hypotheses rather than simply implement assigned ideas.
• Comfortable working across different technical areas.
• Genuine alignment with our mission around housing.
• Able to work in-person in San Francisco, CA

Nice To Haves

• Autonomous vehicle experience, particularly Waymo or Zoox.
• Multimodal AI.
• Computer vision.
• AI evaluation/evals.
• Research engineering.
• Highly regulated AI applications.
• Medical/healthcare AI.
• Legal AI.
• Climate-tech startup experience.
• Early-stage startup engineering.
• Strong academic background.
• Evidence of independently identifying and solving difficult technical problems.
• Experience where incorrect model outputs have serious consequences.
• Genuine interest in housing, architecture, construction, or policy.
• Self-driving/autonomous vehicle background.
• Highly regulated application-layer AI.
• Climate tech.
• Computer vision.
• Strong academic credentials.
• Policy/regulatory curiosity.
• Experience interpreting complex technical documents or diagrams.

Responsibilities

• Multimodal-agent accuracy
• AI evaluation frameworks
• Autoresearch
• Experimental feature development
• Experiment sweeps
• Computer-vision experimentation
• Evaluation analysis
• Lightweight data engineering
• Internal tooling
• Occasional web application improvements
• Building-code domain knowledge
• Product dogfooding
• Limited weekly user interaction

Benefits

• Salary: $160K–$200K
• Base Equity: 0.5%–2%

What This Job Offers

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