Top Tech Jobs & Startup Jobs in Toronto

The Senior Applied Scientist will lead research projects in AI/ML for various legal and taxation solutions, focusing on developing scalable AI capabilities while mentoring junior team members.

The Lead Research Engineer will provide technical leadership, develop scalable ML solutions, and collaborate with teams to innovate and deliver products that enhance customer experiences in legal, accounting, and government sectors.

As Engineering Manager, you will manage a technical team, drive technical strategy, mentor developers, and ensure effective product delivery while aligning with organizational goals.

Lead and operationalize an AI-era product management operating model for 400+ PMs. Build hands-on AI tooling and agentic workflows, establish eval frameworks, govern AI tool adoption and costs, create shared knowledge systems, and run a small execution team to raise PM craft and accelerate prototyping to production.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

As Lead Applied Scientist, you will innovate and deliver AI solutions for document understanding, ensuring accountability for research deliverables and optimizing capabilities while guiding technical direction and mentoring team members.

Design and build full‑stack, agent‑first web applications and scalable cloud-native APIs; partner with AI Engineers to integrate models and data flows; lead architecture, mentor engineers, rapidly prototype AI interaction models, and drive cross-functional delivery.

The Lead Inference Platform Engineer optimizes AI models for performance, deploys workloads across cloud platforms, and collaborates on model integration and infrastructure scaling.

Lead the engineering team for a search platform at Thomson Reuters, focusing on building, operating, and evolving the infrastructure while managing a team of software engineers and aligning efforts with business priorities.

Lead the development of backend services and APIs for AI-driven products, collaborate with cross-functional teams, and oversee complex projects. Focus on building scalable systems while contributing to the frontend when necessary.