Founding Full-Stack Engineer

Customer conversations are the heartbeat of any service business. But as teams grow and interactions scale across channels, it becomes nearly impossible to know what's actually happening on the front lines. Quality slips. Issues go unnoticed. Customer trust erodes quietly. Rulebase gives modern support teams the visibility and confidence they’ve always needed. We’re building a real-time QA and insight platform that watches every call, chat, and email. It surfaces moments that matter, guides agents as they work, and helps teams understand and improve the customer experience as it happens. With a live intelligence engine that never misses a detail, we help companies run sharper operations and deliver better service without scaling linearly. If you care about building systems that support people doing hard, high-stakes work, and you want to work with a focused, experienced team on problems that actually matter, join us. As a Founding Full-Stack Engineer at Rulebase, you’ll contribute to building the core infrastructure that powers real-time QA and compliance for customer service teams. Depending on your interests and skills, your work may include: Frontend (React / Electron.js): Implement UI designs and product flows across our web dashboard and desktop agent app. Ensure responsive, accessible interfaces that deliver insights clearly and efficiently to end users. Backend (Ruby on Rails): Help build and extend our SaaS backend—designing APIs, managing data models, and maintaining systems that securely store and query large volumes of interaction data. Machine Learning (Python): Contribute to our anomaly detection and real-time risk classification systems. Work on model pipelines that process customer service interactions and surface insights and issues. Infrastructure (AWS / DevOps): Support CI/CD pipelines, cloud deployments, and observability tooling. Work on automating testing, monitoring, and scaling of key services in a secure and compliant AWS environment. Frontend (React / Electron.js): Implement UI designs and product flows across our web dashboard and desktop agent app. Ensure responsive, accessible interfaces that deliver insights clearly and efficiently to end users. Backend (Ruby on Rails): Help build and extend our SaaS backend—designing APIs, managing data models, and maintaining systems that securely store and query large volumes of interaction data. Machine Learning (Python): Contribute to our anomaly detection and real-time risk classification systems. Work on model pipelines that process customer service interactions and surface insights and issues. Infrastructure (AWS / DevOps): Support CI/CD pipelines, cloud deployments, and observability tooling. Work on automating testing, monitoring, and scaling of key services in a secure and compliant AWS environment. Python, React, Electron JS.