What You’ll Do:
- Build and iterate on early-stage product features across the full stack.
- Develop responsive, user-friendly frontend interfaces that bring product ideas to life.
- Implement associated backend systems, including APIs, databases, and third-party integrations.
- Apply GenAI tools and building blocks—such as prompt engineering, RAG, vector databases, agentic frameworks, and guardrails—to prototype real-world solutions.
- Write unit and integration tests to ensure code quality and maintainability.
- Use AI-assisted coding tools (e.g., Cursor, Windsurf, GitHub Copilot) to accelerate development.
- Collaborate with design, product, and research teams to turn concepts into working features.
- Gain exposure to CI/CD workflows and participate in deploying features to production.
- Identify and resolve bugs or performance issues across the stack.
- Continuously improve our development practices, tools, and team processes.
- Stay up to date with the latest technologies and trends in fullstack and AI-driven development.
What You Must Bring:
- Strong academic background—currently pursuing or recently graduated with a degree in Computer Science, Engineering, or a related technical field from a top-tier university.
- Solid understanding of core computer science concepts, including data structures, algorithms, object-oriented programming, and systems design.
- Demonstrated experience building fullstack applications through personal projects, coursework, hackathons, or open-source contributions.
- Proficiency in at least one general-purpose programming language (e.g., Python, JavaScript/TypeScript, Java, Go, etc.).
- Familiarity with web development technologies and frameworks (e.g., React, Next.js, Node.js, Flask, etc.).
- Curiosity and motivation to explore and apply Generative AI technologies (prompt engineering, RAG, vector DBs, agentic tools).
- Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Cursor).
- Excellent problem-solving skills and a builder mindset—you enjoy turning ideas into real products.
- Clear, thoughtful communicator who thrives in collaborative environments.
Nice To Haves:
- Internship or professional work experience at a top-tier tech company or venture-backed startup.
- Exposure to cloud platforms (e.g., AWS, GCP) or DevOps tools (e.g., Docker, Kubernetes, CI/CD pipelines).
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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.
