AI Full-Stack Engineer
San Francisco Bay Area, Remote
AI Fund – AI Fund /
Full time /
Hybrid
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 $176 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:
We’re seeking an AI Full-Stack Engineer who is not only fluent in software development across the stack but also proficient with the GenAI frontier landscape and experienced with AI-assisted development tools. 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.
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.
What You Will Do:
- Design, develop, and maintain both client-side and server-side components of a wide range of AI-powered applications.
- 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, RAG, vectorDBs, agentic frameworks, evals, and guardrails) to real-world prototype development.
- 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) 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.
What You Must Bring:
- 3+ years of experience as an AI full-stack engineer with production-level applications.
- 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, Copilot) and understanding of best practices for effective use.
- 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.
Nice To Haves:
- Experience gathering user feedback directly and iterating based on insights.
- Exposure to rapid prototyping methodologies and shipping MVPs.
- Interest or experience in product design and product thinking.
- Contributions to open-source GenAI projects or tools.
- Familiarity with serverless architectures or edge computing.
At AI Fund, we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. AI Fund believes that diversity and inclusion among our employees is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Selection for employment is decided on the basis of qualifications, merit, and business need.
