Engineer in Residence - AI Full-Stack
$10k/mo
Mid
Mountain View, CA, USA
In PersonCandidates must live within commuting distance of Mountain View.
Software EngineeringAI Application Engineering, Full-Stack Engineering
About the job
Requirements
- Demonstrated experience building applications that incorporate Generative AI.
- Proficiency with prompt engineering, Retrieval-Augmented Generation, vector databases such as Pinecone or Weaviate, agentic platforms such as LangGraph or CrewAI, large language model evaluations, and guardrails.
- Experience with front-end technologies including JavaScript, HTML, CSS, and modern frameworks.
- Strong back-end skills, particularly with Python.
- Familiarity with SQL and NoSQL databases such as PostgreSQL and MongoDB.
- Hands-on experience using AI-assisted coding tools such as Cursor or Claude Code, and understanding of best practices for using them effectively.
- A 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/machine-learning components.
- Ability to write scrappy, disposable code for rapid prototyping as well as clean code for scalable products.
- Candidates must be within commuting distance of Mountain View.
- Candidates must complete a 15-minute AI assessment as part of the interview process.
Responsibilities
- Drive rapid engineering efforts to build full-stack applications using Generative AI tools, enabling exploration of product ideas, user experiences, and technical feasibility.
- Apply Generative AI building blocks, including prompt engineering, graph databases, vector databases, agentic frameworks, evaluations, and guardrails, to real-world development.
- Make infrastructure and platform decisions that balance short-term prototyping needs with long-term scalability.
- Collaborate with product, design, and AI experts to create, test, and iterate on new concepts.
- Use AI-assisted coding tools such as Cursor, Windsurf, GitHub Copilot, and Claude Code to enhance productivity and speed of iteration.
- Gather user feedback and iterate based on insights to improve usability and effectiveness.
- Deploy and manage applications on cloud infrastructure such as AWS, Google Cloud Platform, and 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.
- Collaborate with Andrew Ng to bring experimental ideas to life through functional prototypes.
Desired Qualifications
- Experience gathering user feedback directly and iterating based on insights.
- Exposure to rapid prototyping methodologies and shipping minimum viable products.
- Interest or experience in product design and product thinking.
- Contributions to open-source Generative AI 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, including microservices, event-driven architectures, and datastore design.
- Experience with large-scale system design and high-performance cloud infrastructures.
- Familiarity with governance, compliance, and security aspects of AI application architecture.
About the company
AI Fund is a venture studio that creates and launches AI-based companies. It partners with innovators and tech pioneers to develop startups that apply artificial intelligence to solve problems in fields such as manufacturing, mental health, maritime shipping, and education. It acts as a minor co-founder, offering resources, strategic guidance, and investment to help entrepreneurs move ideas from concept to reality quickly. Unlike traditional funds, it builds companies around AI-enabled business models and shares equity stakes in the ventures it helps create and grow. Its goal is to advance practical AI applications and drive meaningful impact by helping early-stage startups scale and succeed.
Company Size
51-200
Company Stage
N/A
Total Funding
$437M
Headquarters
Palo Alto, California
Founded
2017
Get referred to AI Fund
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Simplify's Take
What believers are saying
- IrisGo raised $2.8 million in May 2026 with Acer preinstalled, proving hardware distribution.
- LearnVector announced July 28, 2026, backed by Coursera's $100 million, expanding AI Fund reach.
- AI Fund backed Netail's February 2026 Series A and BizTrip AI's pre-seed, keeping pipeline active.
What critics are saying
- Andrew Ng’s July 2026 LearnVector launch splits attention from AI Fund’s portfolio oversight.
- AI Fund’s model depends on continuous founder recruitment; weak markets stall new studio creations quickly.
- Hyperscalers ship bundled copilots faster than studio startups, crushing narrow product wedges within months.
What makes AI Fund unique
- Andrew Ng combines AI Fund with LearnVector and Coursera ties, closing founder-to-distribution loops.
- AI Fund co-founds companies from zero, not just writing checks, compressing pre-seed execution.
- IrisGo’s Acer preloads show AI Fund turns prototypes into OEM-shipped products quickly.
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Benefits
- Health Insurance
- Wellness Program
- Professional Development Budget
- Paid Vacation
- 401(k) Company Match
- Remote Work Options