Founding AI Engineer

JeffreyM Consulting; San Francisco (CA); On-site; USD 160,000 - 200,000; Full time

Job summary

JeffreyM Consulting is seeking a highly autonomous Founding AI Engineer in San Francisco, onsite, to improve multimodal agent accuracy for a seed-stage company focused on construction and architecture. You will drive evaluation frameworks, autoresearch, and experimental feature development with limited customer interaction.

The role suits a strong software/AI engineer or researcher who thrives on rapid prototyping, rigorous evaluation, and mission-driven work in housing-related tech.

Qualifications

• 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

Responsibilities

• Own multimodal-agent accuracy and AI evaluation frameworks.
• Lead autoresearch and experimental feature development.
• Conduct experiment sweeps and evaluation analysis.
• Do lightweight data engineering and internal tooling work.
• Contribute to product dogfooding and limited weekly user interactions.

Skills

Independent & self-directed

Experimentation

Prototyping speed

Software/AI background

Problem solving

In-person SF

Job description

San Francisco, CA | Onsite | Full-Time

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.

What You'll Own:

• 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

• 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

What We’re Looking For:

• 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.

Nice-to-Haves:

• 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.

#LI-DNI

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

Employment Type: Full-Time
Visa Sponsorship: None Available