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# Senior Frontend Software Engineer (AI Receptionist)

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/cresta.md)Share14 Sep 2026Published39Listing views0Application actions14 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryCresta is seeking a Senior Frontend Software Engineer to build enterprise web applications for its AI Receptionist product. The role centers on creating React and TypeScript interfaces for configuring conversational AI agents, managing deployments, monitoring live calls, and analyzing performance. The engineer will integrate real-time frontend experiences with REST APIs, WebSockets, streaming services, and AI/ML capabilities while improving performance, accessibility, reliability, and developer tooling. This is a senior, cross-functional engineering role that includes frontend architecture ownership, technical leadership, and mentorship in a fast-paced AI product environment.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

4/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

4/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior-level role requiring deep frontend architecture expertise alongside real-time integrations, enterprise UX considerations, and exposure to AI-powered workflows. The engineer must make technical decisions, mentor peers, and collaborate effectively across Product, Design, Platform, and AI/ML teams.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$175,000US market range$145k–$215k0$237k

AI insightNo numeric salary range is disclosed, so these are estimated US annual base-salary figures for a senior frontend software engineer with React, TypeScript, real-time application, and AI-product experience. The estimated median is $175,000, with a typical US market range of approximately $145,000 to $215,000; actual compensation may vary by location, experience, equity, and company level.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[React](https://jobicy.com/jobs?search_keywords=React.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[JavaScript](https://jobicy.com/jobs?search_keywords=JavaScript.md)[HTML](https://jobicy.com/jobs?search_keywords=HTML.md)[CSS](https://jobicy.com/jobs?search_keywords=CSS.md)[Frontend Architecture](https://jobicy.com/jobs?search_keywords=Frontend%20Architecture.md)[REST APIs](https://jobicy.com/jobs?search_keywords=REST%20APIs.md)[WebSockets](https://jobicy.com/jobs?search_keywords=WebSockets.md)[Real-Time Applications](https://jobicy.com/jobs?search_keywords=Real-Time%20Applications.md)[LLM Applications](https://jobicy.com/jobs?search_keywords=LLM%20Applications.md)

Sample interview questionsHow would you structure a React application for configuring and deploying AI voice agents at enterprise scale?I would separate the application into domain-focused modules such as agent configuration, knowledge sources, testing, deployment, and analytics. I would establish a reusable design system and component library, use clearly defined server and client state boundaries, and create typed API contracts so workflows remain reliable as the product grows. I would also prioritize permissions, draft-versus-published configuration states, auditability, and robust validation for enterprise users.

What techniques would you use to deliver live conversation monitoring through WebSockets or streaming APIs?

I would create a resilient connection layer that manages authentication, reconnects with exponential backoff, detects stale connections, and exposes connection status in the UI. Incoming events should be normalized, ordered where necessary, and buffered or batched to avoid excessive React renders. I would also provide graceful fallback behavior, observability for connection failures, and automated tests for reconnect and out-of-order event scenarios.

How do you approach frontend performance optimization in a complex production application?

I begin with measurement using browser profiling, web-vitals tracking, error monitoring, and network analysis. Common improvements include route-level code splitting, memoizing expensive work only where profiling supports it, virtualizing large data sets, optimizing API payloads, and reducing unnecessary state updates. I would set performance budgets and continuously monitor regressions through CI and production telemetry.

Describe how you would collaborate with Product, Design, and AI/ML engineers when exposing LLM-powered features to users.

I would first align on the user decision or workflow the AI feature must support, then define clear interaction states for loading, streaming, uncertainty, errors, and human handoff. With AI/ML engineers, I would agree on typed response schemas, latency expectations, confidence signals, and evaluation metrics. With Product and Design, I would validate that users can understand, review, correct, and safely act on AI-generated outputs.

How would you improve frontend engineering quality and productivity across a team?

I would establish pragmatic standards for TypeScript, component APIs, testing, accessibility, code review, and release safety. I would invest in reusable components, CI checks, preview environments, error monitoring, and documentation for common patterns. I would also use design reviews and mentoring to share context, raise implementation quality, and help the team make consistent architectural decisions.

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](https://www.linkedin.com/in/pingwu/), 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.

### About the Role

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.

### What You’ll Do

* 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.

### What We’re Looking For

* 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 Have

* 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.

Perks & Benefits:

* We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs
* Paid parental leave to support you and your family
* Monthly Health & Wellness allowance
* Work from home office stipend to help you succeed in a remote environment
* Lunch reimbursement for in-office employees
* PTO: 3 weeks in Canada

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable. We are actively hiring for this role in the US and Canada. Your recruiter can provide further details.

We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates’ personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored. If you are uncertain whether you have been contacted by an official Cresta employee, reach out to [recruiting@cresta.ai](mailto:recruiting@cresra.ai)

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[Apply now >](https://jobicy.com/jobs/153297-senior-frontend-software-engineer-ai-receptionist.md)

>  Annual salary information is not provided for this position. Explore salary ranges for similar roles in our [Salary Directory ›](https://jobicy.com/salaries.md)

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