Senior Frontend Software Engineer (AI Receptionist)

Cresta•Canada (Remote), ON

17d

About The Position

Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day. Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu, founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences. Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta. Cresta AI Receptionist is redefining how businesses engage with customers by delivering natural, intelligent, and reliable AI-powered voice experiences. Our AI Receptionist answers calls, understands customer intent, completes tasks, schedules appointments, routes conversations, and seamlessly hands off to human agents when needed. As a Senior Software Engineer, Frontend, you'll help build the web applications that power the AI Receptionist experience for enterprise customers. You'll work closely with Product, Design, AI/ML, and Platform teams to create intuitive interfaces for configuring AI agents, managing deployments, monitoring live conversations, analyzing performance, and continuously improving customer experiences. You'll have the opportunity to solve challenging frontend engineering problems while helping shape the future of conversational AI and voice automation.

Requirements

5+ years of professional software engineering experience with a strong focus on frontend development.
Deep expertise with modern frontend technologies including React, TypeScript, JavaScript, HTML, and CSS.
Experience building complex, production-scale web applications with exceptional user experiences.
Strong understanding of frontend architecture, component design, state management, and modern build systems.
Experience integrating with backend services using REST APIs, GraphQL, WebSockets, or streaming protocols.
Familiarity with frontend tooling including Vite, Webpack, Node.js, and modern testing frameworks.
Strong understanding of application performance optimization, observability, and debugging.
Experience collaborating closely with Product and Design teams to build polished enterprise applications.
Ability to influence technical direction while contributing high-quality production code.
Excellent communication skills and the ability to thrive in a fast-paced, collaborative environment.

Nice To Haves

Experience building AI-powered or Generative AI applications.
Experience working with Large Language Models (LLMs) and AI agent platforms.
Experience building products for conversational AI, voice technology, or contact center software.
Experience with real-time communication technologies.
Experience with Go or other backend technologies.
Experience building cloud-native distributed systems.

Responsibilities

Partner with Product Managers, Designers, and Engineers to define and deliver new AI Receptionist capabilities.
Design and build modern, responsive, and highly interactive web applications using React and TypeScript.
Create intuitive user experiences for configuring conversational AI, managing knowledge sources, testing AI behavior, and deploying voice agents.
Build reusable UI components and frontend infrastructure that improve consistency, scalability, and engineering velocity.
Integrate frontend applications with backend services using REST APIs, WebSockets, and real-time streaming technologies.
Collaborate closely with AI and ML engineers to surface LLM-powered capabilities through intuitive user experiences.
Optimize application performance, accessibility, reliability, and responsiveness across enterprise-scale deployments.
Drive frontend architecture decisions and establish engineering best practices.
Improve developer productivity through testing, CI/CD, observability, monitoring, and automation.
Mentor engineers through technical leadership, design reviews, and collaborative problem solving.