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AI Fund

Founding Engineer (AI-Native)

San Francisco, Californiafull timemidAdded 1 month ago

About this role

Join Vidably as a Founding Engineer to build AI-powered infrastructure that transforms user-generated video into verified product evidence for e-commerce. You'll develop the core systems that connect authentic buyer content to shopping platforms and enable data-driven product recommendations.

What you'll do

  • Build and scale AI-powered systems to structure and verify user-generated video content
  • Develop self-serve tools and infrastructure for Shopify storefronts
  • Create APIs and integrations connecting video evidence to commerce platforms
  • Work on measurement systems that tie video content to conversion outcomes
  • Collaborate with small founding team across full technical stack
  • Implement reliability and quality systems for production deployments

What they're looking for

  • AI/ML systems and model integration
  • Full-stack software engineering
  • Backend development and scalable architecture
  • API design and e-commerce integrations
  • Video processing or computer vision experience
  • Data systems and analytics
  • Python or similar production languages
  • Startup mentality and adaptability

Benefits

  • Early-stage equity as a founding engineer
  • Backing from AI Fund (370M+ resources)
  • Small, talented core team environment
  • Work on cutting-edge AI applications in commerce
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AI Fund

AI Fund builds and invests in AI-powered applications spanning healthcare, productivity, manufacturing, and developer tools. The company is hiring AI Engineers, ML specialists, and full-stack engineers to deploy production machine learning solutions, develop AI-driven platforms for chronic care and business intelligence, and contribute to open-source AI infrastructure projects.

View all jobs at AI Fund

Likely interview questions

  • Walk us through your experience building AI systems that process video or unstructured media data. What were the biggest challenges?
  • How would you approach structuring raw UGC video into SKU-level, actionable data that a commerce system can rely on?
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