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AI Fund

Engineer in Residence (AI Full-Stack)

Mountain View, CAcontractmidAdded 1 month ago

About this role

AI Fund seeks an experienced full-stack engineer to join their venture studio as an Engineer in Residence, working directly with founder Andrew Ng to rapidly prototype and build generative AI applications. This role offers the opportunity to shape the future of AI by collaborating on experimental projects and defining technical direction across diverse industry sectors.

What you'll do

  • Build and iterate on full-stack AI applications using modern generative AI frameworks
  • Develop functional prototypes to bring experimental ideas from concept to reality
  • Define architectural patterns and guide technical vision for AI projects
  • Collaborate directly with Andrew Ng on emerging AI initiatives
  • Stay current with cutting-edge AI tools, frameworks, and best practices
  • Support rapid prototyping and fast-paced development cycles

What they're looking for

  • Full-stack software development
  • Generative AI frameworks and tools
  • Rapid prototyping
  • System architecture and design
  • Modern AI/ML technologies
  • Fast-paced problem solving
  • Technical leadership
  • Curiosity and continuous learning mindset

Benefits

  • Work directly with AI pioneer Andrew Ng
  • Access to $390 million fund backing
  • Exposure to cutting-edge generative AI technologies
  • Opportunity to shape future of AI across multiple industries
  • Fast-paced, innovative work environment
  • Mountain View, CA location
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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 a recent full-stack application you built from scratch. How did you approach rapid prototyping and what was your iteration cycle?
  • Which generative AI frameworks and tools are you most proficient with, and how have you used them in production or prototype settings?
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