Full Stack Engineer

Job Description

About the role As a Senior Full Stack Engineer for Liven?s Voice AI Platform, you will play a key role in scaling Voicey , our AI-powered voice automation product for hospitality. You?ll work across the stack (Node.js, Typescript, React) to build the core systems that enable real-time voice ordering, customer interactions, and seamless integrations with venue systems. This role is hands-on and impact-driven ? focused on shipping features faster, improving platform reliability, and enabling new client integrations so Voicey can go live quickly and deliver an exceptional customer experience. What you'll do Build and maintain scalable backend services using Node.js and Typescript, and develop efficient frontend applications using React Focus on platform engineering (not AI model development), designing and maintaining APIs, integrations, and clean architectural patterns Work closely with AI engineers to productionize voice features and support real-time interactions Manage cloud deployments and infrastructure on AWS or GCP, ensuring platform speed, reliability, and scalability Optimise databases across PostgreSQL, Supabase, or MongoDB Accelerate feature delivery, platform reliability, and integration readiness to support quick customer go-lives Participate in system design, code reviews, and technical decision-making Uphold strong engineering best practices in code quality, testing, and maintainability Apply full-stack expertise across Node.js, Typescript, React, APIs, and cloud infrastructure Qualifications 6+ years of full stack engineering experience (Node.js + React required) Strong understanding of backend architecture, REST APIs, and microservices Hands-on experience with AWS/GCP, cloud deployments, and CI/CD workflows Strong knowledge of relational and NoSQL databases Experience in product-led or SaaS engineering environments and ability to turn AI prototype features into production-ready components Strong documentation, collaboration skills and ability to work cross-functionally Good to Have Exposure to voice technologies, NLP, or telephony APIs Experience with real-time user interaction systems Background in AI-enabled or automation-heavy products