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 wide-ranging response times, partial outputs, and agent state transitions.Accessibility & Design Systems: WCAG‑compliant, reusable component libraries for consistent#J-18808-Ljbffr

📌 Ai-Enabled Full Stack Engineer At Bmo - $140,000 - $170,000 A Year (Winnipeg)
🏢 Accenture
📍 Winnipeg