J

Senior Fullstack Engineer

Jobgether • Canada
Remote
This Job is No Longer Active This position is no longer accepting applications

Design and build end-to-end features for a next-generation AI-powered customer experience platform. Collaborate with Product teams to define scope, prioritize features, and deliver iterative high-impact releases. Contribute to an AI-first system that leverages LLMs to power intelligent, context-aware customer interactions across multiple channels.

Key Highlights
Design and build end-to-end features
Collaborate with Product teams
Contribute to an AI-first system
Key Responsibilities
Build, scale, and maintain full-stack features
Collaborate with Product teams
Integrate and optimize LLM-based AI capabilities
Manage and improve cloud infrastructure
Participate in CI/CD pipeline development
Technical Skills Required
Node.js TypeScript React Express AWS services (Fargate, Lambda, EC2, SQS) PostgreSQL Redis CI/CD pipelines (GitHub Actions, CodePipeline, or similar tools) Microservices architecture and distributed systems
Benefits & Perks
Fully remote
7+ years of software engineering experience
Nice to Have
Experience with Next.js
Knowledge of Infrastructure as Code (Terraform or AWS CDK)
Python development experience
Event-driven architecture experience
Background in customer support or CX platforms

Job Description

This role sits at the core of a next-generation AI-powered customer experience platform, where you will design and build end-to-end features that shape how businesses interact with their customers. You will work in a fast-moving, highly collaborative, and globally distributed engineering team, where each member has significant ownership and impact. The environment is deeply product-driven, with engineers actively shaping roadmap decisions alongside Product and Design. You will contribute to an AI-first system that leverages LLMs to power intelligent, context-aware customer interactions across multiple channels. This is a role for someone who enjoys solving complex technical challenges, building scalable systems, and shipping meaningful features quickly. Your work will directly influence how AI transforms customer experience at scale.
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