Founding AI Engineer

About the Role

This is a founding engineering role at a seed-stage AI startup building the intelligence layer for the construction industry. The company's platform transforms messy blueprints, permits, and construction documents into actionable insights — accelerating cost estimation and permitting workflows that directly impact housing, hospitals, and schools. As a Founding AI Engineer , you'll be one of the earliest technical hires, working hands-on with state-of-the-art computer vision, LLMs, and multimodal AI to prototype and ship production systems on real-world, noisy construction documents.

The focus is squarely on the intelligence layer — modeling, data pipelines, and inference — not the application UI. This is a full-time, in-office role based in San Francisco, CA. Candidates must be based in SF or willing to relocate.

US work authorization is required; visa sponsorship is not available.

What You'll Do

Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (blueprints, schedules, specs). Rapidly prototype models and iterate based on user feedback and real production data. Build and deploy end-to-end AI systems that operate reliably on noisy, heterogeneous inputs.

Own the intelligence layer: modeling, data pipelines, and inference infrastructure. Collaborate closely with product and users to surface and prioritize high-impact problems. Embrace practical engineering work — data labeling, ETL, deployment — as part of a small, high-trust team.

Communicate progress, tradeoffs, and results clearly and empathetically across the team.

What We're Looking For

Must-haves: Demonstrated experience applying computer vision and/or multimodal AI in production — on real-world, messy data (documents, images, mixed modalities). 0-to-1 builder mindset : you've launched an AI system into production or built the core of a new product from scratch. Hands-on experience with LLMs and modern CV/multimodal model tooling and techniques.

Comfort iterating quickly and improving prototypes directly from user feedback. Strong communication skills — honest, empathetic, and transparent with teammates and stakeholders. Willingness to handle the full spectrum of startup engineering tasks (no task is too small).

Based in San Francisco or willing to relocate; US work authorization required. Nice-to-haves: Experience building something that shipped to real users or paying customers. Background or domain knowledge in construction, AEC (architecture/engineering/construction), or related industries.

Experience at an early-stage startup or founding team environment. All experience levels are welcome, including recent graduates with strong production ML portfolios. Compensation & Benefits Salary: $120,000 – $180,000 per year, depending on experience Equity participation as a founding team member Opportunity to shape the technical direction of an AI product from the ground up Location San Francisco, CA — full-time in-office Relocation-ready candidates strongly encouraged to apply US work authorization required; visa sponsorship is not available

ABOUT THE ROLE

This is a founding engineering role at a seed-stage AI startup building the intelligence layer for the construction industry. The company's platform transforms messy blueprints, permits, and construction documents into actionable insights — accelerating cost estimation and permitting workflows that directly impact housing, hospitals, and schools. As a Founding AI Engineer, you'll be one of the earliest technical hires, working hands-on with state-of-the-art computer vision, LLMs, and multimodal AI to prototype and ship production systems on real-world, noisy construction documents.

The focus is squarely on the intelligence layer — modeling, data pipelines, and inference — not the application UI. This is a full-time, in-office role based in San Francisco, CA. Candidates must be based in SF or willing to relocate.

US work authorization is required; visa sponsorship is not available.

WHAT YOU'LL DO

• Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world construction documents (blueprints, schedules, specs).
• Rapidly prototype models and iterate based on user feedback and real production data.
• Build and deploy end-to-end AI systems that operate reliably on noisy, heterogeneous inputs.
• Own the intelligence layer: modeling, data pipelines, and inference infrastructure.
• Collaborate closely with product and users to surface and prioritize high-impact problems.
• Embrace practical engineering work — data labeling, ETL, deployment — as part of a small, high-trust team.
• Communicate progress, tradeoffs, and results clearly and empathetically across the team.

WHAT WE'RE LOOKING FOR

Must-haves:

• Demonstrated experience applying computer vision and/or multimodal AI in production — on real-world, messy data (documents, images, mixed modalities). - 0-to-1 builder mindset: you've launched an AI system into production or built the core of a new product from scratch.
• Hands-on experience with LLMs and modern CV/multimodal model tooling and techniques.
• Comfort iterating quickly and improving prototypes directly from user feedback.
• Strong communication skills — honest, empathetic, and transparent with teammates and stakeholders.
• Willingness to handle the full spectrum of startup engineering tasks (no task is too small).
• Based in San Francisco or willing to relocate; US work authorization required. Nice-to-haves:
• Experience building something that shipped to real users or paying customers.
• Background or domain knowledge in construction, AEC (architecture/engineering/construction), or related industries.
• Experience at an early-stage startup or founding team environment. All experience levels are welcome, including recent graduates with strong production ML portfolios. COMPENSATION & BENEFITS
• Salary: $120,000 – $180,000 per year, depending on experience
• Equity participation as a founding team member
• Opportunity to shape the technical direction of an AI product from the ground up LOCATION
• San Francisco, CA — full-time in-office
• Relocation-ready candidates strongly encouraged to apply
• US work authorization required; visa sponsorship is not available