Technical Builder

AI Fund; Palo Alto (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading AI venture studio is seeking a Senior AI Full‑Stack Engineer to drive rapid engineering efforts in building full‑stack applications. This role involves leading the architecture design of scalable AI applications and applying GenAI building blocks to real‑world development. The ideal candidate must have over 7 years of software engineering experience, including significant architecture responsibilities, and expertise in using various GenAI tools. A full‑time, on‑site position located in Palo Alto, CA, this role offers an exciting opportunity to shape innovative AI technology.

Qualifications

• 7+ years of software engineering experience with architecture responsibilities.
• Experience developing AI-powered applications for at least 3 years.
• Proficiency with GenAI tools and frameworks.

Responsibilities

• Drive rapid engineering efforts for full-stack applications.
• Lead architecture design for scalable AI applications.
• Collaborate with product, design, and AI experts.

Skills

Software engineering experience

Architecture responsibilities

Generative AI applications

AI-assisted coding tools

Front-end technologies (JavaScript, HTML, CSS)

Back-end skills (Python)

SQL and NoSQL databases

Communication skills

Tools

GenAI frameworks (RAG, vector databases)

AWS

GCP

Supabase

Job description

AI Fund is a venture studio founded by Dr. Andrew Ng. Our portfolio companies use AI technology to build applications across multiple industry sectors. We are backed by a $390‑million fund from top‑tier global corporations and VC firms. Our purpose is to build AI companies that move humanity forward. The position is located in Palo Alto, CA and is full‑time on‑site.

Position

Senior AI Full‑Stack Engineer – Technical Builder

Responsibilities

• 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.

Qualifications

• 7+ years of software engineering experience with significant architecture responsibilities, including at least 3 years developing AI‑powered applications.
• 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 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.

Equal Opportunity & Hiring Process

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.