Title : Full Stack AI Developer (Conversational AI / Contact Centre)

Location: Rogers Client Office – Brampton, Ontario (Near Toronto) or Calgary, Alberta, Canada (5 Days Onsite)

Duration: 12+ Months

Rate: CAD $65/hr on W2

Relevant Experience: 5 +

:

- Full-stack Developer
- 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 diverse 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.
- 8
- 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

Must Have Skills:

- React.js (or Vue.js)
- Java (or Python)
- Microservices
- Conversational AI / Contact Center
- REST API Development

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