Summary
A technology-focused organization is seeking a full stack engineer to build intuitive interfaces and reliable backend services for AI-driven workflows. The role involves frontend development, API design, distributed services, real-time communication, and creating secure, high-performance applications.
Highlights
Opportunity to build advanced AI-enabled user experiences and backend services, working on challenging problems involving real-time interactions, automation, and scalable systems.
Description
Full-stack Developer
Brampton, ON – 5 Days Onsite
6+MOnths
The bridge between humans and AI, responsible for building interfaces and middle-tier services that make agentic systems transparent, intuitive, and responsive.
About the Role
You will design dynamic UIs for human-in-the-loop workflows, build backend microservices that safely route requests to AI systems, and manage complex state across multi-turn conversations and long-running agent tasks.
What You Will Do
AI-Native Interfaces: Build responsive UIs supporting streaming tokens (SSE), agent tool-use visualization, and real-time reasoning feedback.API & Middle-Tier Development: Implement secure microservices that orchestrate requests across RAG, agents, and evaluation layers.State Management: Handle complex frontend state for multi-turn conversations, agent workflows, and partial-completion tasks.Performance Optimization: Ensure low-latency rendering and smooth UX across varied AI response times.Required Qualifications
Expertise in modern frontend frameworks (React, Vue) and backend runtimes (Java, Python).Experience building chat interfaces or state-heavy dashboards.Strong understanding of web security and API design.Skillset Requirements
Frontend Engineering: React/Vue, component architecture, state management, and streaming UI patterns.AI-Native UX: Designing interfaces for streaming tokens, agent tool-use visualization, and multi-turn reasoning.Backend Microservices: Java/Python runtimes, secure routing, and API orchestration.State Management: Redux, Zustand, Vuex, or equivalent for long-running agent tasks.Web Security: OWASP, secure API design, auth flows, and safe AI request routing.Performance Optimization: Low-latency rendering, concurrency handling, and streaming UI performance.Event-Driven UI: SSE, WebSockets, and real-time agent feedback loops.Integration with AI Backends: Handling varied response times, partial outputs, and agent state transitions.Accessibility & Design Systems: WCAG-compliant, reusable component libraries for consistent AI-native UX.
