Member of Technical Staff, Frontend

Vapi•San Francisco, CA

12d•$235,000 - $264,000•Onsite

About The Position

Vapi is hiring a senior frontend engineer in San Francisco to raise the quality of the experiences customers use to build and operate voice AI agents. This role will shape frontend experiences across call health and LLM observability, reporting, and analytics - a broad product surface with significant room for ownership. You’ll shape data-heavy dashboards and call logs used by thousands of monthly active users, making complex, real-time workflows fast, accessible, and trustworthy.

Requirements

5+ years of professional software engineering experience with deep frontend expertise and a record of shipping customer-facing products.
Strong command of React, TypeScript, JavaScript, HTML, CSS, browser APIs, and integrating frontend applications with backend services and APIs.
Strong web performance and accessibility fundamentals, including tools such as Chrome DevTools and Lighthouse.
A test-driven approach spanning component, visual, and end-to-end testing, plus experience with Storybook and design systems.
Excellent product and UX judgment and strong collaboration with product and design in fast-moving environments.
Production experience with agentic coding tools and Tailwind CSS.

Nice To Haves

Data-intensive dashboards, complex tables, pagination across millions of rows, or real-time interfaces are a plus.

Responsibilities

Ramp up on Vapi’s frontend stack and Agent Loop/Observe.
Build context with engineering, product, and design, learn how dashboards and call logs connect to backend services, and ship a meaningful improvement.
Take end-to-end ownership of a core workflow in call health/LLM observability or reporting and analytics.
Deliver production React, TypeScript, and Tailwind work with strong API integration, testing, and measurable improvements to performance, accessibility, or usability.
Become the primary frontend owner for your area.
Establish reusable patterns in the design system and Storybook, improve how data-intensive and real-time interfaces scale, and help the team use agentic coding without compromising craft.