What you will do Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibilityApply GenAI building blocks (prompt engineering, graphDBs, vectorDBs, agentic frameworks, evals, and guardrails) to real-world developmentMake key decisions around infrastructure and platform choices, balancing short-term prototyping needs with long-term scalabilityCollaborate 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, Claude Code) to enhance productivity and speed of iterationGather 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 servicesParticipate in architecture discussions and technical planningIdentify and troubleshoot issues across the stackContribute to improving development processes, tools, and team practicesStay current with industry trends and emerging technologiesWhat you must bring Demonstrated experience building applications that incorporate Generative AIProficiency 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 guardrailsStrong back-end skills, particularly with PythonFamiliarity 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 useProven track record of architecting, implementing, and deploying scalable and maintainable AI-powered systemsExpertise in designing end-to-end system architectures involving front-end, back-end, APIs, and AI/ML componentsDeep curiosity and a fast-learning mindset—especially around emerging trends in AIAbility to write scrappy, disposable code for fast prototyping, and clean code for scalable productsStrong communication skills and ability to work collaboratively across disciplinesNice to have Experience gathering user feedback directly and iterating based on insightsExposure to rapid prototyping methodologies and shipping MVPsInterest or experience in product design and product thinkingContributions to open-source GenAI projects or toolsFamiliarity with serverless architectures or edge computingPrior experience as a technical lead or architect on teams delivering AI-driven productsKnowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design)Experience with large-scale system design and high-performance cloud infrastructuresFamiliarity with governance, compliance, and security aspects in AI application architectureCompensation $10,000 - $12,000 a monthThis is a great opportunity for someone in transition and looking to gain awesome building experience working alongside Andrew Ng. 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.