Top Tech Jobs & Startup Jobs in Toronto

Design, build, and maintain test automation frameworks; automate functional and API tests; collaborate with developers; maintain documentation and improve processes.

The Senior AI Engineer will develop and scale Generative AI systems, manage AI applications' lifecycle, and integrate LLMs with data streams while providing leadership and mentoring to junior engineers.

The Data/AI Engineer will architect AI applications, manage the AI application lifecycle, optimize RAG pipelines, and mentor junior engineers, leveraging technologies like Python and Azure.

Lead decomposition of a monolith into independently deployable services, design APIs and data migrations to domain-specific databases, establish developer standards, CI/CD and observability, and deliver production-grade backend services while minimizing business disruption.

Design and deliver end-to-end digital product experiences by running discovery, user research, prototyping, and usability testing. Collaborate with PMs, engineers, and stakeholders, contribute to the design system, iterate on features, and experiment with AI/LLM tools to drive product strategy and measurable impact.

The Product Manager will support the execution of the product roadmap, manage feature rollouts, analyze user data, and ensure stakeholder communication.

The Operations Engineer manages SaaS platform operations, troubleshooting, client support, and documentation while collaborating with multiple teams to improve system reliability and operational efficiency.

The AI Engineer II role involves designing and implementing AI systems, building APIs, and maintaining data pipelines while ensuring agent reliability in production.