WHO WE ARE:

AI is the new electricity: Just as electricity transformed numerous industries starting 100 years ago, AI is now poised to do the same. AI Fund is a venture studio founded by Dr. Andrew Ng in 2017. Our portfolio companies use AI technology to build applications across numerous industry sectors. The AI Fund team combines their experiences as AI pioneers, entrepreneurs, venture capitalists, investors, and operators. We are backed by a $370-million dollar fund from top-tier global corporations and VC firms. Our purpose is to build AI companies that move humanity forward

WHAT WE’RE LOOKING FOR:

For the Technical Builder role, we are seeking a Senior AI Full-Stack Engineer with a strong architecture background, fluent in full-stack development and proficient in designing scalable AI-driven systems. You should be deeply experienced in architecting complex applications, leveraging modern Generative AI frameworks, and comfortable leading the design of robust, production-grade architectures. The ideal candidate thrives in fast-paced environments where the goal is to quickly build and iterate on full-stack applications leveraging cutting-edge AI techniques, as well as guiding technical vision and defining architectural patterns.
You’re passionate about staying ahead of the curve in AI—constantly exploring new tools, frameworks, and best practices. You’ll collaborate closely with world-class founders, product thinkers, and engineers to bring experimental ideas to life through functional prototypes.
This role puts you in the front row of where AI is heading, working with technologies that are helping shape the future. If you’re driven by curiosity, innovation, and the thrill of building what’s next—this is the role for you.
This is a full-time hybrid position for candidates based in San Francisco, Bay Area.

• Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility
• Apply GenAI building blocks (prompt engineering, graphDBs, vectorDBs, agentic frameworks, evals, and guardrails) to real-world development
• Lead architecture design and technical planning for scalable AI applications, ensuring system reliability, maintainability, and performance
• Make key decisions around infrastructure and platform choices, balancing short-term prototyping needs with long-term scalability
• Collaborate cross-functionally with product, design, and AI experts to create, test, and iterate on new conceptsUse AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot) to enhance productivity and speed of iteration
• Gather user feedback and iterate quickly based on insights to improve usability and effectivenessDeploy and manage applications on cloud infrastructure (e.g., AWS, GCP, Supabase)Build and integrate APIs and third-party services
• Participate in architecture discussions and technical planningIdentify and troubleshoot issues across the stack
• Contribute to improving development processes, tools, and team practices
• Stay current with industry trends and emerging technologies