Top Tech Jobs & Startup Jobs in Toronto

Design, build, deploy, and stabilize production software solutions directly with strategic customers. Develop applications, APIs, integrations, agents, data connectors, automation, and AI workflows. Own engineering workstreams, troubleshoot complex distributed systems, implement testing, CI/CD, infrastructure-as-code, observability, and operational runbooks. Collaborate with customer teams and Product to identify platform gaps, define reusable engineering patterns, and deliver reliable, secure, scalable solutions across networking, cloud, data, and AI environments.

Build scalable end-to-end Generative AI applications using Java, Python, microservices, Angular, and React. Develop backend APIs, distributed workflows, ML model integrations, responsive enterprise interfaces, and cloud-native deployments. Own testing, CI/CD, containerization, performance, security, and fault tolerance. Collaborate with UX, product, ML, and cross-functional teams while mentoring junior developers and driving engineering best practices.

Lead strategy and research for Generative AI and Graph ML, drive end-to-end ML system design and production deployments, mentor scientists, align ML innovation with product goals, and represent the company externally.

Lead AI engineering strategy and team to productize generative AI and autonomous systems. Drive end-to-end delivery from research to enterprise production, set architecture and reliability standards for LLMs, RAG, and multi-agent systems, and partner cross-functionally to measure business impact.

Lead discovery, prototyping, and commercialization of ML/AI and edge computing solutions. Build hands-on prototypes, collaborate with data scientists and engineers, engage customers and partners for co-innovation, influence product roadmaps, participate in standards/open-source, and evangelize thought leadership to advance productization and market adoption of intelligent networking capabilities.