Top Engineering Jobs in Toronto

Design and architect multi-agent orchestration frameworks, build tool-calling pipelines and reasoning loops, and optimize latency and token usage for real-time agentic workflows and autonomous operations.

Run adversarial tests on language and multimodal models, build guardrails and real-time filters for autonomous tool use, and support RLHF alignment and constitutional AI development to ensure safe AI deployment.

Design and integrate vision and audio models into agent reasoning loops, optimize streaming latency for voice-to-voice interactions, and architect multimodal RAG systems to retrieve insights from videos and PDFs.

Optimize, compress, and distill large language and vision models for on-device inference. Build pipelines for distillation and hardware-specific compilation, and benchmark performance across NPU/GPU architectures.

The role involves building and scaling growth engineering products, balancing quality and speed effectively, and influencing product direction and AI-driven growth solutions.

Lead and grow an engineering team, partnering with Product and Design to define roadmaps and deliver features with high-quality execution.

Lead and mentor a team of Forward Deployed Engineers to deploy Cohere's North platform into private cloud and on-premises environments. Own technical delivery and customer success, collaborate with Product/Engineering/Sales, optimize K8s services (OpenSearch, databases), define GPU/CPU scaling, and build scalable processes and tooling.

Lead engineering for Consumer Intelligence & Engagement, owning personalization, content management, product discovery, promotions, and communications. Define technology strategy, architecture, and AI integration; ensure GraphQL/APIGEE APIs, SFCC and Sanity implementations, performance, testing, and platform health. Build and mentor senior engineering teams, partner with product and business stakeholders, and drive delivery, standards, and experimentation across DTC commerce capabilities.

Lead platform engineering for consumer web and mobile experiences, set technology vision and standards, own frontend architecture, component library, observability and performance, drive AI/LLM integration, govern vendor delivery, and grow a lean senior engineering team to deliver fast, accessible, and scalable DTC digital experiences.

Lead the Options Engineering team, enhance trading infrastructure, and evolve systematic options trading with a focus on automated systems and risk management.

The Engineering Lead for Options will oversee a team, improve trading systems, and support the platform's evolution, focusing on options trading.

Lead an engineering team building an Agentic Marketing Platform: roadmap and deliver major features, improve execution velocity and reliability, recruit and grow engineers, and build systems for content generation (foundation models), context management, insights, and orchestration with ad and lifecycle platforms.

Lead and grow the Customer Studio engineering team to deliver major product features, improve execution pace, hiring, reliability, and incident management. Drive data-warehouse performance optimizations, real-time audience syncing (CDC), analytics/experimentation, and integrate generative AI to improve user workflows while mentoring engineers and collaborating on roadmap and recruiting.

Lead and scale a ~9-person engineering organization for Invoice Simple, hiring senior engineers, driving PLG experiment-driven development, overseeing AI/Agents delivery, improving Agile processes, communicating with cross-functional stakeholders, and coaching engineers to maximize performance and product quality.

The Engineering Leader will oversee software and data teams, ensuring product delivery and operational excellence in robotics and IoT systems.

The Staff Engineer leads analog and mixed-signal block design, conducts design reviews, mentors junior engineers, and develops methodologies for advanced technology applications.

The Engineering Manager will lead the Web & Add-ins team, driving product development and team optimization while ensuring project success and best practices.

The role involves leading technical teams to develop high-quality software, mentoring engineers, and contributing to open source projects. Responsibilities include planning, execution, and enhancing the Linux user experience across various teams and technologies.

Lead and grow a multi-site infrastructure and platform engineering team (5–10 engineers). Own infrastructure architecture, platformization, DevX, automation, security hardening, and AI enablement. Partner cross-functionally and with senior leadership to set strategy, roadmaps, and deliverables while remaining hands-on in development and mentoring engineers.

Lead the Lister engineering domain, owning roadmap, delivery, technical health, partner data quality, and team growth. Manage three pods via team leads, stay hands-on with architecture and code reviews, partner cross-functionally, own intake and reliability, and hire/mentor engineers to scale backend services and data pipelines that integrate messy third-party partner systems.

Manage and mentor multiple small engineering pods to deliver and operate high-availability production services. Provide technical direction, lead incident response and on-call rotations, hire and grow the team, and collaborate cross-functionally with product and design to drive short- and long-term planning.

Lead and mentor a mobile engineering team to design, build, and modernize enterprise-grade iOS and Android platforms. Drive architecture, large-scale replatforming, reusable frameworks, AI-assisted tooling adoption, Agile delivery, cross-team collaboration, and high-quality releases.

Own end-to-end engineering for a product domain, drive large latency improvements, build observability and model-selection systems, lead execution rituals, translate product goals into deliverables, operationalize continuous quality evaluation, and enforce engineering best practices to ensure reliability and scalability.

Lead and scale the iOS mobile platform end-to-end: own architecture, roadmap, delivery, and reliability. Drive major performance and crash-rate improvements, build observability and automated testing, coordinate closely with Product/Design/Backend, and improve EHR integrations and technical debt while establishing mobile engineering processes and execution cadence.

Lead strategy, design, and execution of platform integrations connecting Sully.ai's AI clinicians to EHRs and partner APIs. Build and scale the integrations team, ensure HIPAA-compliant, secure, and reliable connectors, ship SDKs and CI/CD/observability standards, and deliver production EHR connectors while partnering with Product, Clinical, Security, and Customer Success.