Founding Engineer

The build: Our client is building the intelligence layer for construction model-garden approach newest computer vision and LLM systems shipped into prototypes users actually rely on. Theyre an early-stage SF team and they want a founding engineer to build it with them.

This isnt a seat. Its a direction. As the founding engineer youll set the technical direction pick the models and define how the intelligence layer gets built. Expect ambiguity ownership and schlep and the equity to match.

What youll do

• Own the intelligence layer end to end detection understanding and estimation over construction documents.
  
• Set the technical direction for how the team applies CV LLM and AI systems. Model-garden it: pick test combine.
  
• Ship 0-to-1 prototypes fast then harden them from real user feedback.
  
• Coordinate models detection segmentation OCR LLM reasoning into one coherent system.
  
• Do the schlep. Early product messy data weird edge cases no clean pipeline no playbook.
  

What were looking for

• Applied CV/ML in Python deep learning computer vision object detection.
  
• 0-to-1 builder. Youve started something or joined at the start and owned it.
  
• AI in production youve shipped not just trained.
  
• Slope > y-intercept. Fast learner beats a static résumé.
  
• Empathy honesty about whats working and what isnt.
  
• Comfortable with schlep and ambiguity theres no one to hand it to.
  

Bonus

• You built something people used or paid for (founder/startup).