Summary
✨ AI‑Generated
Build next-generation AI applications as a Full Stack AI Engineer. You will create responsive interfaces for streaming AI interactions, develop secure microservices orchestrating retrieval and agent workflows, manage complex conversational state, and optimize low-latency user experiences using modern frontend and backend technologies.
Highlights
Long-term onsite opportunity focused on cutting-edge generative AI applications, responsive interfaces, secure APIs, agent workflows, and performance optimization across the full stack.
Description
Position: Full Stack AI Engineer (React + Java/Python + GenAI)
Location: Brampton, Ontario, Canada (Onsite)
Duration: Long Term
Job Description:
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.
Thank You
Aakash Dubey
Talent Acquisition Lead
Aakash.dubey@ampstek.com
