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 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
What you must bring:
- 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
Nice to have:
- 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
- Prior experience as a technical lead or architect on teams delivering AI-driven products
- Knowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design)
- Experience with large-scale system design and high-performance cloud infrastructures
- Familiarity with governance, compliance, and security aspects in AI application architecture
Top Skills
What We Do
Who is AI Fund?
We are a team of AI pioneers, proven entrepreneurs, seasoned operators, and venture capitalists that collaborates with leading entrepreneurs to solve big challenges using artificial intelligence.
Founded in 2017 by Dr. Andrew Ng, AI Fund is backed with $176 million in capital by some of the leading VC firms and investors, including NEA, Sequoia, and Greylock.
How Are We Different?
We work with entrepreneurs during their startup’s most critical and risky phase, from 0 to 1. At the earliest stages, your company strategy is still being formed, and you’re still on the path to demonstrating your idea’s full potential – this is a reality we understand. This is the period when decisions on product strategy, market fit, and team are most critical, moving fast and fixing parts of your business when you have limited resources is a challenge.
We believe the best way to help entrepreneurs is by providing our time, expertise, and resources to help flesh out these key strategic decisions. Making the right decisions at the right time can often make the difference. We are here to improve these dynamics, at a time when the help matters the most.
Why Work With AI Fund?
Getting a startup from idea to Series A funding is not easy. We’ve been there and understand the challenges you must overcome. Whether you desire limited help and just want access to our unique ecosystems of AI experts and entrepreneurs or you would like our full support, we are interested in the opportunity to help in your success.
We are flexible in how we work with companies, but ultimately, we are here to maximize your chance of success and accelerate getting your company to market. We provide the capital, expertise, and resources to accelerate the work required to minimize risks in your startup, help you rise above the noise, and make your company more attractive to new investors.
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