John Joyner
@johnjoyner
Senior Full Stack AI Engineer building scalable LLM and RAG products end to end.
United StatesWhat I'm looking for
I’m a Senior Full Stack AI Engineer with 10+ years delivering scalable, production-ready software across AI, cloud analytics, and enterprise systems. I own systems end to end—from discovery through production deployment—especially when shipping LLM-powered features, RAG pipelines, and AI-integrated applications.
At Fireflies.ai, I led the design and launch of Smart Recap, an AI meeting summarization feature that cut manual note-taking by 90% and scaled to millions of transcripts per month. I also architected Insight Threads, a semantic search + Q&A tool that increased engagement by 60%, and built end-to-end RAG pipelines using Node.js, Python, LangChain, and Pinecone.
Before that, at Airbnb, I built frontend and backend services using React, TypeScript, GraphQL, Java (Spring Boot), and Python (Flask/FastAPI) to support distributed systems processing millions of transactions daily. I integrated fraud detection models (scikit-learn, XGBoost, TensorFlow Serving) and improved reliability with observability tooling, while optimizing PostgreSQL and Redis to reduce API response times by 30%.
Experience
Work history, roles, and key accomplishments
Led the design and launch of Smart Recap, reducing manual note-taking by 90% and scaling to millions of transcripts/month using LLMs and RAG pipelines. Built Insight Threads for semantic search and Q&A, increasing user engagement by 60%, and owned end-to-end delivery across React/Next.js, Node/Python services, and AWS deployments.
Built frontend and backend features for booking, payments, and trust & safety using React/TypeScript and GraphQL, and developed services in Java (Spring Boot) and Python (Flask/FastAPI). Integrated ML fraud detection and optimized performance by reducing average API response times by 30% through PostgreSQL tuning and Redis caching.
Software Engineer
Splunk
Jul 2016 - Jan 2018 (1 year 6 months)
Built and shipped web dashboard features and data visualizations using React, Redux, and SCSS, and developed backend services with Node.js and PostgreSQL. Designed REST APIs and early predictive analytics capabilities using Python, Pandas, and scikit-learn to improve forecasting with data analysts.
Education
Degrees, certifications, and relevant coursework
University of California, Berkeley
Bachelor's Degree, Computer Science
2012 - 2016
Earned a bachelor's degree in computer science at the University of California, Berkeley from 2012 to 2016.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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