AI Full-Stack Engineer

🕒 June 19, 2025

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

AI Fund

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Venture Capital

AI Fund is a venture studio focused on launching AI-based companies that aim to drive progress across various sectors. By partnering with talented founders and tech pioneers, AI Fund supports the development of innovative applications of artificial intelligence, spanning industries such as manufacturing, mental health, education, and more. The organization acts as a minor co-founder, helping to cultivate startups that leverage the transformative potential of AI to improve the world.

📋 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. • We are backed by a $176 million-dollar fund from top-tier global corporations and VC firms. • Our purpose is to build AI companies that move humanity forward. • We’re seeking an AI Full-Stack Engineer who is proficient with the GenAI frontier landscape. • 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. • 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. • This is a full-time hybrid position for candidates based in San Francisco, Bay Area.

🎯 Requirements

• 3+ years of experience as an AI full-stack engineer with production-level 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, Copilot) and understanding of best practices for effective use. • 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.