Principal Full Stack Developer – Generative AI & Autonomous Agents (10036) Toronto, Canada - Hybrid
Toronto, CanadaFull-TimeStaffFull-stack
Key Responsibilities
- Full Stack Development:
- Design, implement, and optimizeend-to-end solutions for GenAI applications, from backend services to user-facing interfaces.
- Build modular and reusable UI components in Angular and React, ensuring responsive and accessible interfaces.
- Develop and optimize backend services and APIs (REST, GraphQL, gRPC) to support real-time AI-driven applications.
- Backend Engineering:
- Architect and maintaindistributed microservices (synchronous and asynchronous) using Java, Python, and FastAPI.
- Integrate ML models into scalable, production-ready systems in collaboration with ML engineers and scientists.
- Manage workflow orchestration with DAGs and asynchronous task queues.
- Implement automated testing, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments (AWS, Azure, GCP).
- Ensure security, performance optimization, and fault tolerance in backend systems.
- Frontend Engineering:
- Collaborate with UX and product teams to create human-in-the-loop AI experiences with Angular and React.
- Implement robust state management (Redux, NgRx, or equivalent) for real-time, data-intensive applications.
- Optimize rendering, bundle size, and performance for enterprise-scale UIs.
- Lead UI testing (Jest, Cypress, Playwright, Jasmine, Karma) to maintain quality and reliability.
- Collaboration & Leadership:
- Work closely with cross-functional teams to deliver cohesive GenAI-powered products.
- Mentor junior developers, promote coding standards, and drive best practices across front-end and back-end development.
- Communicate effectively with technical and non-technical stakeholders, ensuring transparency and alignment.
Qualifications
- 10+ years of professional experience as a full stack or combined backend/frontend engineer.
- Backend expertise:
- Frontend expertise:
- Cloud & DevOps: Hands-on with AWS/Azure/GCP, Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of security best practices across the stack.
- Excellent collaboration, problem-solving, and communication skills.
