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# Staff AI Frontend Engineer - Klarity

- **Company:** David Joseph & Company
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $250,000.0 - $315,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Mobile Application Development, Cursor (Graphical User Interface Elements), Github, Performance Tuning, Systems Development Life Cycle, Rapid Prototyping Process, Next.js, Data Streaming, TypeScript, WebRTC, Tailwind, ReactJS, Generative AI, Backend, Material UI, Front End Software Development
- **Published:** May 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a2e92bcb838854e6

## About the Role

Do you have experience in TypeScript?, * 6+ years of production software engineering experience

 * Senior to Staff frontend engineering background
 * Deep React and Next.js mastery
 * Advanced TypeScript and Tailwind expertise
 * Strong frontend architecture instincts and performance optimization experience
 * AI-native development workflow experience - must be fluent with tools such as Cursor, Claude Code, v0.dev, Lovable, or comparable AI engineering tools
 * Ships multiple features per day with AI tooling
 * Strong product intuition with high ownership / founder mentality
 * Comfortable with customer conversations and sales interactions
 * 5 days onsite in downtown San Francisco, * Prior founder or founding engineer experience
 * WebRTC / real-time streaming experience
 * Video pipeline or voice AI product experience
 * Generative UI or generative dashboard systems experience
 * Python backend familiarity
 * Strong GitHub / shipped product portfolio, Strong signals include founders, founding engineers, high-ownership startup builders, real-time frontend systems builders, WebRTC product engineers, and generative UI builders.

## Description

This is a senior individual contributor frontend engineering role at the intersection of AI-native product design and advanced frontend architecture. This is not a traditional frontend role. The expectation is ownership of highly complex real-time AI product experiences while shipping at extreme velocity using modern AI-assisted engineering workflows.

Core ownership includes:

 * Architecting scalable frontend systems and reusable component libraries
 * State management architecture and API integration strategy
 * Performance optimization and bundle efficiency
 * End-to-end product feature ownership and production-quality UX delivery
 * Real-time WebRTC companion agent interfaces
 * Generative dashboards for enterprise context visualization
 * Agentic chat experiences that directly operate the application
 * AI-assisted SDLC process design
 * Rapid prototype-to-production execution


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