Founding AI Engineer

Clera
  • San Francisco, California
    25 days ago

    Job Description

    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

    Numbers & Facts

    LocationSan Francisco, California
    Websitehttps://www.getclera.com/

    Skills

    • Artificial Intelligence (AI)unmatched
    • Blueprintsunmatched
    • Building Permitsunmatched
    • Communication Skillsunmatched
    • Computer Visionunmatched
    • Constructionunmatched
    • Construction Document Setunmatched
    • Construction Engineeringunmatched
    • Cost Estimatesunmatched
    • Customer/Client Researchunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • Document Imagingunmatched
    • Establish Prioritiesunmatched
    • Hospitalunmatched
    • Machine Toolunmatched
    • Production Systemsunmatched
    • Prototypingunmatched
    • Startupunmatched

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