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Engineer in Residence (AI Full-Stack)

AI Fund· AI Fund
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Mountain View, CAContractPosted 4mo ago

About the role

Engineer in Residence role at AI Fund focusing on rapid prototyping and full-stack development using GenAI, collaborating with Andrew Ng to bring experimental ideas to life through functional prototypes.

Responsibilities

  • 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
  • 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 concepts
  • Use AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot, Claude Code) to enhance productivity and speed of iteration
  • Gather user feedback and iterate quickly based on insights to improve usability and effectiveness
  • Deploy 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 planning
  • Identify and troubleshoot issues across the stack
  • Contribute to improving development processes, tools, and team practices
  • Stay current with industry trends and emerging technologies

Qualifications

  • Demonstrated experience building applications that incorporate Generative AI
  • Proficiency with GenAI tools and frameworks: prompt engineering, Retrieval-Augmented Generation (RAG), vector databases (e.g., Pinecone, Weaviate), agentic platforms (e.g., LangGraph, CrewAI), LLM evals, and guardrails
  • Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks
  • Strong back-end skills, particularly with Python
  • Familiarity with SQL and NoSQL databases (PostgreSQL, MongoDB, etc.)
  • Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective use
  • Proven track record of architecting, implementing, and deploying scalable and maintainable AI-powered systems
  • Expertise in designing end-to-end system architectures involving front-end, back-end, APIs, and AI/ML components
  • Deep curiosity and a fast-learning mindset especially around emerging trends in AI
  • Ability to write scrappy, disposable code for fast prototyping, and clean code for scalable products
  • Strong communication skills and ability to work collaboratively across disciplines

Skills

Required:Generative AI integrationGenAI tool proficiencyFront-end developmentBack-end development (Python)DatabasesAI-assisted coding toolsSystem architectureCommunication and collaboration
Last updated Oct 21, 2026. Interested? Apply on the company site.

About AI Fund

Co-founding companies together from idea to impact

AI Fund is a venture studio. We collaborate with entrepreneurs, venture funds, and corporate partners to create great companies that move humanity forward.

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