Technical Builder

AI Fund; Mountain View (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

AI Fund is seeking a Technical Builder—AI Full-Stack Engineer with a strong architecture background to design scalable AI-powered systems. You will work with GenAI frameworks and guide architectural patterns while shipping production-grade prototypes.

You will collaborate with world-class founders and engineers, apply cutting-edge tools like Cursor and Copilot, and help define technical vision. This role offers the opportunity to shape AI infrastructure in a venture studio setting.

Qualifications

• 3+ years of software engineering with architecture responsibilities.
• Experience building AI-powered applications with Generative AI.
• Familiarity with SQL and NoSQL databases.

Responsibilities

• Drive rapid engineering to build full-stack apps using GenAI tools.
• Apply GenAI building blocks like prompt engineering, vectorDBs, and guardrails.
• Lead architecture design and planning for scalable AI applications.
• Decide on infrastructure and platform choices balancing prototyping and scalability.
• Collaborate with product, design, and AI experts to prototype concepts.
• Use AI-assisted coding tools to boost productivity.
• Gather user feedback and iterate to improve usability.
• Deploy and manage apps on cloud infrastructure (AWS, GCP, Supabase).
• Build and integrate APIs and third-party services.

Skills

Software engineering

AI architecture

Generative AI

SQL

NoSQL

Full-stack

APIs

Cloud platforms

Tools

Cursor

Claude Code

GitHub Copilot

Job description

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 $390-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:

For the Technical Builder role, we are seeking a AI Full-Stack Engineer with a strong architecture background, fluent in full-stack development and proficient in designing scalable AI-driven systems. You should be deeply experienced in architecting complex applications, leveraging modern Generative AI frameworks, and comfortable leading the design of robust, production-grade architectures. 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.

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.

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
• Lead architecture design and technical planning for scalable AI applications, ensuring system reliability, maintainability, and performance
• 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) 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 in software engineering with significant architecture responsibilities, including developing AI-powered applications
• Demonstrated experience building applications that incorporate Generative AI
• 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 useProven 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