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Clera

Founding Engineer (Applied AI)

San Francisco$120k–$180kfulltimemidAdded today

About this role

Join an early-stage construction-tech AI startup as a Founding Engineer to design and deploy computer vision and ML systems that automate blueprint analysis and cost estimation. You'll own the intelligence layer, ship prototypes rapidly, and directly impact the product's core capabilities in a fast-moving startup environment.

What you'll do

  • Design, build, and iterate on computer vision and AI systems for blueprint parsing and material takeoff automation
  • Apply cutting-edge CV models, LLMs, and AI tools to solve production problems
  • Ship prototypes quickly, gather user feedback, and drive rapid improvement cycles
  • Orchestrate and coordinate multiple ML models within a model-garden architecture
  • Handle foundational engineering work across the stack at the earliest stage
  • Collaborate across the team to translate ambiguous problems into working systems

What they're looking for

  • Computer vision and machine learning (production experience required)
  • Python programming and deep learning frameworks
  • 0-to-1 product development and prototyping
  • Large language models and modern AI tooling
  • Model orchestration and system architecture
  • Clear communication and technical tradeoff analysis
  • Background in autonomous systems, robotics, or top AI companies
  • Construction industry knowledge (bonus)

Benefits

  • Equity package as part of founding team
  • Work on cutting-edge applied AI in an early-stage company
  • Opportunity to shape core product direction and architecture
  • Rapid learning and high impact on company trajectory
  • On-site in San Francisco with collaborative founding team
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

View all jobs at Clera

Likely interview questions

  • Walk us through a computer vision or ML system you shipped to production users—what was the biggest challenge and how did you solve it?
  • How have you approached taking an ambiguous problem and driving it to a working prototype?