Build and maintain the AI Standalone frontend application, including data ingestion, mapping, and transformation workflows
Develop real-time UI features using WebSocket and streaming protocols for live agent and supervisor experiences
Design and deliver desktop applications (Electron or equivalent) alongside web-based interfaces where the use case demands it
Design intuitive interfaces for non-technical operations and sales users working with contact center data
Implement scalable frontend architectures including Microfrontend patterns for modular, multi-team codebases
Collaborate with backend and AI platform teams on integration patterns for real-time data and AI-driven features
Build and maintain CI/CD pipelines, automated test validation, and code quality checks to support fast delivery
Instrument applications with observability and session tooling (Sentry, LogRocket, New Relic, or equivalent)
Lead and mentor engineers within the team and contribute to frontend engineering standards and practices
Support expanding integrations across multiple 3rd-party CCaaS platforms and enterprise customers

4+ years of hands-on frontend engineering experience shipping production applications at scale
Proficiency in modern JavaScript/TypeScript and React (primary stack)
Proven experience building real-time applications using WebSocket or SSE
live dashboards, agent assist overlays, streaming transcripts, or similar
Experience building or maintaining Electron-based desktop applications, including packaging, auto-update, and cross-platform distribution
Understanding of Contact Center domain concepts: call flows, agent states, dispositions, queue management, recordings, and CCaaS platforms (Genesys, NICE, Avaya, Amazon Connect, or similar)
Working knowledge of Agent Assist or AI Agents platform development
building or consuming AI-driven features such as copilots, real-time transcription, or supervisor monitoring in a contact center context
Experience with Microfrontend architecture (Webpack Module Federation or equivalent) for large, multi-team applications
Hands-on with CI/CD tooling (Jenkins, Harness, or similar) and automating build validation and deployment pipelines
Ability to design clean, usable interfaces for enterprise operational users
Experience with cloud deployment to S3 or CDN-backed infrastructure

Senior AI Software Engineer

Key skills