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56 Clera Full Time Jobs Hiring Near You

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $200K/yr

About the Role This is the first full-time engineering hire outside the founding team at an early-stage AI/ML startup building automated agent failure detection and patch generation tooling. You will ...

Clera

Founding Engineer

San Francisco, CA · On-site

$150K - $200K/yr

About the Role This is the first full-time engineering hire outside the founding team at an early-stage AI/ML startup building automated agent failure detection and patch generation tooling. You will ...

Clera

Founding Engineer (Applied AI)

San Francisco, CA · On-site

$125 - $150/hr

Employment: Full-time * Visa sponsorship: Not available Location This role is fully on‑site in San Francisco, CA . Candidates must be SF‑based or willing to relocate. #J-18808-Ljbffr

Clera

Founding AI Engineer

San Francisco, CA · On-site

$120K - $180K/yr

This role is full-time, in-office in San Francisco - relocation-ready candidates are welcome. What You'll Do * Apply state-of-the-art computer vision, LLM, and multimodal AI techniques to real-world ...

Clera

Founding AI Engineer

San Francisco, CA · On-site

$120K - $180K/yr

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 ...

Clera

Senior Agent Product Manager

Los Angeles, CA · On-site

$150 - $200/hr

This is a full-time, on-site position with a competitive package commensurate with experience at a well-funded, high-growth AI startup. Location This role is based on-site in Los Angeles, CA

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Infographic showing various Full Time job openings at Clera in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Founding Engineer (Applied AI)

Clera

San Francisco, CA • On-site

$120K - $180K/yr

Full-time

Re-posted 29 days ago

Job description

About the Role

This is a founding engineering role at an early-stage AI startup transforming the construction pre-construction workflow through automated blueprint understanding and cost estimation. You'll own the intelligence layer - advancing computer vision and AI systems from research to reliable, shipped products that real users depend on. It's a high-impact position on a small, fast-moving team where your work directly shapes the core product.

What You'll Do

  • Drive the intelligence layer of the product, focusing on CV/ML systems rather than application-layer work.

  • Apply cutting-edge computer vision models, LLMs, and AI systems to real construction workflows.

  • Ship initial prototypes quickly, then iterate and improve based on direct user feedback.

  • Coordinate and compose multiple ML models into coherent, production-ready pipelines.

  • Roll up your sleeves for hands-on, ground-level work - this team embraces "schlep" as part of building early-stage products.

What We're Looking For

  • Proven 0-to-1 builder with AI systems shipped to production.

  • Strong applied ML experience, including machine learning, deep learning, and computer vision (object detection a plus).

  • Proficient in Python and comfortable working across the ML stack.

  • Growth mindset - values trajectory and continuous learning over prior pedigree.

  • Communicates with empathy and honesty; proactively flags what's working and what isn't.

  • Comfortable with ambiguity and repetitive foundational work common at early-stage startups.

  • US citizenship required (visa sponsorship is not available).

  • Bonus: background in construction or estimating.

  • Bonus: prior experience founding or contributing early to a product that attracted real users or paying customers.

Compensation & Benefits

Base salary range: $120,000 - $180,000 USD annually. Equity participation expected at the founding engineer level. No visa sponsorship available.

Location

On-site, full-time in San Francisco, California, USA. Candidates must be based in SF or willing to relocate.

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