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AI Fund

Engineer in Residence: Live Commerce AI

Mountain View, CAcontractmidAdded 1 month ago

About this role

Design and build an AI copilot system that supports live commerce hosts by automating backend operations like chat management, inventory tracking, and post-show tasks. This role focuses on keeping sellers focused on audience engagement while AI handles the operational complexity of running a live selling show.

What you'll do

  • Develop AI features for live commerce operations (chat management, inventory handling, listing pacing)
  • Design the copilot interface to keep hosts in the spotlight while automating backstage work
  • Research and solve live selling operational pain points through user feedback
  • Build automation for post-show follow-up and audience engagement tasks
  • Collaborate with live commerce sellers to refine the product experience
  • Iterate on AI capabilities to reduce host cognitive load during broadcasts

What they're looking for

  • AI/machine learning systems design
  • Full-stack software engineering
  • Real-time system architecture
  • User experience and interface design
  • Live streaming or e-commerce domain knowledge
  • Product thinking and problem-solving
  • Python or similar backend languages
  • API integration and data handling
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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.

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Likely interview questions

  • Walk us through your experience with live commerce, streaming platforms, or real-time event production. What operational bottlenecks have you observed?
  • Describe a time you've built AI tooling or automation for a fast-paced, real-time environment. How did you balance automation with human control?
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