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AI Fund

Founding Engineer-Vindexa

Santa Monica, CAfull timemidAdded 1 month ago

About this role

Vindexa seeks a founding engineer to build the technical foundation for an AI-powered compliance platform serving the clean energy industry. You'll own architecture and codebase while working closely with the CEO to automate prevailing wage and apprenticeship verification for renewable energy developers seeking IRA tax credits.

What you'll do

  • Make architectural decisions and establish engineering standards for the platform
  • Develop and maintain AI-powered compliance workflows and verification systems
  • Build integrations with certified payroll data and DOL wage determination systems
  • Own the codebase and technical roadmap as the first engineering hire
  • Work directly with the CEO on product development and technical strategy
  • Scale engineering practices as the team grows

What they're looking for

  • Full-stack software engineering with autonomous decision-making ability
  • AI/ML systems design and implementation
  • Data pipeline and ETL architecture
  • Backend development and API design
  • Proficiency with AI coding tools and agents
  • Database design and optimization
  • Real-time data processing and validation
  • Audit trail and compliance-focused system design

Benefits

  • Founding engineer role with significant autonomy and technical leadership
  • Backed by AI Fund (Andrew Ng) and AES Clean Energy
  • Established anchor customer with deep relationship and growing pipeline
  • Opportunity to grow into engineering leadership as company scales
  • Work on high-impact problems in clean energy compliance
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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 a project where you made a significant architectural decision early on. How did you balance moving fast with building something maintainable?
  • Tell us about your experience with AI coding tools and agents. How do you use them to increase your velocity without sacrificing code quality?
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