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Clera

Founding Engineer (Full Stack)

San Francisco$100k–$180kfulltimemidAdded today

About this role

Join an early-stage construction tech startup as a founding engineer building AI-powered tools for blueprint analysis and cost estimation. You'll own full-stack development from UI to backend, working directly with computer vision models and shipping features based on real user feedback in a fast-paced startup environment.

What you'll do

  • Build intuitive React UIs that present computer vision model outputs to construction professionals
  • Develop full-stack features handling geometric data, streaming systems, and complex user interactions
  • Ship rapid prototypes and iterate based on continuous user feedback from real customers
  • Contribute to product and architecture decisions as an early team member
  • Solve math-oriented problems involving blueprint analysis and material takeoffs
  • Own end-to-end features from backend logic to polished frontend implementation

What they're looking for

  • React and TypeScript
  • Full-stack development
  • Python
  • Computer vision integration and visualization
  • Geometric data processing
  • Tailwind CSS
  • Startup product development (0-to-1 experience)
  • Systems design and streaming architectures

Benefits

  • Equity participation
  • Founding engineer influence over product and culture
  • Direct customer feedback loops
  • San Francisco location with full-time on-site arrangement
  • Early-stage growth opportunity
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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

  • Tell us about a product you took from 0 to 1 and what made it successful—what was your specific contribution?
  • How have you approached building UIs that visualize complex or abstract data, like geometric outputs or ML model results?
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