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Liven - Senior Full Stack Engineer - Node.js/React.js

Liven
Others
6 - 8 Years

Posted on: 24/11/2025

Job Description

About The Role :


As a Senior Full Stack Engineer for Livens Voice AI Platform, you will play a key role in scaling Voicey, our AI-powered voice automation product for hospitality.

Youll 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.


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