AI Fund
Technology
EngineerinResidence-GenerativeAI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Engineer in Residence - Generative AI at AI Fund. Skills: Generative AI, Full-stack development, Rapid prototyping, AI/ML. Drive rapid engineering efforts. Build full-stack applications”
Industry & Context.
Troubleshooting
Commuting distance from Mountain View
What They're Looking For.
Must Have
Demonstrated experience building applications that incorporate Generative AI, Proficiency with GenAI tools and frameworks, Experience with front-end technologies, Back-end skills with Python, Familiarity with SQL and NoSQL databases, Hands-on experience using AI-assisted coding tools, Proven track record of architecting, implementing, and deploying scalable and maintainable AI-powered systems, Expertise in designing end-to-end system architectures, Deep curiosity and a fast-learning mindset, Ability to write scrappy, disposable code for fast prototyping, Ability to write clean code for scalable products, Communication skills, Ability to work collaboratively across disciplines
Nice to Have
Experience gathering user feedback directly, Iterating based on insights, Exposure to rapid prototyping methodologies, Shipping MVPs, Interest in product design, Interest in product thinking, Contributions to open-source GenAI projects, Familiarity with serverless architectures, Familiarity with edge computing, Prior experience as a technical lead, Prior experience as an architect, Knowledge of advanced architecture patterns, Experience with large-scale system design, Experience with high-performance cloud infrastructures, Familiarity with governance aspects in AI application architecture, Familiarity with compliance aspects in AI application architecture, Familiarity with security aspects in AI application architecture
What You'll Do.
Drive rapid engineering efforts
Build full-stack applications
Enable deep exploration of product ideas
Enable deep exploration of user experiences
Enable deep exploration of technical feasibility
Apply GenAI building blocks
Make key decisions around infrastructure
Make key decisions around platform choices
Collaborate cross-functionally
Iterate on new concepts
Use AI-assisted coding tools
Enhance speed of iteration
Iterate quickly based on insights
Improve effectiveness
Integrate third-party services
Participate in architecture discussions
Participate in technical planning
Identify issues across the stack
Troubleshoot issues across the stack
Contribute to improving development processes
Contribute to improving tools
Contribute to improving team practices
Stay current with industry trends
Stay current with emerging technologies
How You'll Work.
Team & Collaboration
Collaborate cross-functionally; Work collaboratively across disciplines
Communication Scope
Communication skills
Process & Methodology
Rapid prototyping methodologies
Full Job Description
## Description 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 $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 Engineer in Residence role, we are seeking an AI Full-Stack Engineer with fluency in software development and proficient in rapid prototyping. You should possess intense curiosity and leverage modern Generative AI frameworks. 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 Andrew Ng 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 ambition, 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 Make key decisions around infrastructure and platform choices, balancing short-term prototyping ne
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