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AI Fund

Software Engineer, Full Stack

Mountain View, CAfull timemidAdded today

About this role

LearnVector, founded by Andrew Ng, is seeking a full-stack software engineer to build an AI-driven personalized learning platform from end to end. You'll own critical architecture decisions and shipping in a small, on-site team working on real-time, stateful learning experiences powered by LLMs.

What you'll do

  • Build complete product stack: frontend, backend services, data layer, and infrastructure deployment
  • Design and implement the serving layer for AI-driven experiences including streaming, session state, and memory management
  • Make foundational architecture decisions and validate them as the product scales
  • Establish engineering standards for testing, CI/CD, observability, and production reliability
  • Integrate LLM APIs into the product with streaming and graceful degradation
  • Ship daily product improvements alongside the founding team

What they're looking for

  • Full-stack web development (frontend, backend, infrastructure)
  • TypeScript/JavaScript and modern frameworks (React, Next.js)
  • Backend engineering (Node.js or Python), API design, SQL
  • Production systems: deployment, monitoring, incident response, performance optimization
  • LLM API integration and streaming implementations
  • Real-time systems and state management over long-running sessions
  • AI-assisted development and modern AI engineering practices
  • System architecture and design under uncertainty

Benefits

  • Work directly with Andrew Ng and founding team on core product decisions
  • On-site position in Mountain View, CA with flexible early-stage environment
  • Opportunity to shape architecture and engineering practices from the ground up
  • Company backed by $100 million Coursera investment
  • Exposure to cutting-edge AI and personalized learning technology
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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 time you integrated an LLM API into a production application—what were the trickiest parts with latency and reliability?
  • Describe your approach to designing a system that maintains user state and memory over months-long interactions rather than stateless sessions.
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