Top Engineering Jobs in Toronto

Lead and grow a Detection engineering team building tools, applications, and infrastructure for fraud and abuse detection. Collaborate with engineers, scientists, and stakeholders to design, implement, and review scalable systems and features, mentor engineers, and contribute to code and architecture to improve detection capabilities.

Lead architecture and delivery of scalable AI systems for P&C insurance, oversee fraud prevention platform from data to production, mentor AI engineers, collaborate with business stakeholders, prototype novel AI techniques (LLMs, GNNs, CV), and drive cloud deployments and responsible AI practices.

The Engineering Manager oversees multi-disciplinary engineering activities, ensuring project deliverables meet safety, budget, and timeline standards, while managing internal resources and external partnerships across capital projects.

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.

As Director of Customer Engineering, manage technical customer relationships, translate needs into engineering specifications, and enhance collaboration between customer teams and internal engineering.

Lead the architecture and development of enterprise software tools, focusing on secure cloud systems, Node.js applications, and AI integrations while ensuring quality and reliability.

Talent-network posting to collect engineers for future openings across full-stack, backend (Golang), frontend (React), mobile (iOS/Android/React Native), blockchain, AI, DevOps, security, data, and QA. Applicants should state domain, core technologies, location/time zone, and share links to profiles or projects. Fully remote; must have right to work in the country you are based.

Work as a full‑stack engineering intern writing production code across backend services, databases, and front‑end interfaces. Use MySQL, JSON, and third‑party APIs, debug existing systems, collaborate with senior engineers, and experiment with modern tooling (including AI-assisted development). Remote role (US/Canada) for 3–12 months.

Lead and develop a platform engineering team building real-time financial infrastructure. Set goals, improve velocity, close skill gaps (AI tooling, version control), define CI/CD and development standards, collaborate with product and stakeholders, and mentor engineers to take end-to-end ownership.

Lead and mentor multiple Agile software teams, own technical design and architecture, drive end-to-end delivery, champion AI-first innovation, ensure high-quality releases, partner with product, improve team performance and operational excellence, and communicate with customers and stakeholders.

Provide tools and hands-on support to analog circuit and custom layout teams using Cadence EDA tools. Support design capture, pre/post-layout simulation, optimization, EM/IR and thermal analysis, reliability and 2.5D/3D IC flows, and develop AI-driven tooling and improvements to increase efficiency and quality.

Lead and grow a remote AI engineering organization, manage ~30 forward-deployed engineers, maintain technical standards for agentic full‑stack applications, review architectures, run performance management and hiring, support client engagements, and drive team enablement, evaluation harnesses, and MLOps practices.

Lead Rewind's full technology function (engineering, cloud infrastructure, security, and support). Define and execute technology vision and architecture for scale and reliability, own technology budget, build high-performing teams, drive AI-powered engineering practices, maintain SOC 2/GDPR/CCPA compliance, and align engineering with customer needs and product roadmap.

The Client Solution Architect will lead complex implementations, drive client engagement, mentor teams, and establish standards within wealth management solutions.

The Quality Engineering Specialist will design and implement testing strategies, automate tests, analyze software requirements, and collaborate on maintaining high quality in application solutions.

The Senior Mechanical Engineer leads HVAC, plumbing, and fire protection designs for commercial and institutional projects, ensuring compliance with codes and client standards while managing multiple tasks and guiding junior engineers.

As a Software Engineering Consultant, you will design, build and own the lifecycle of scalable software systems while collaborating with clients in various technical domains.

The Director of Engineering for the Exchange Platform at Index Exchange leads the optimization and innovation of a high-volume, low-latency platform while managing and mentoring cross-functional teams to drive performance improvements.

Lead and grow remote engineering teams across Supabase, owning people management, hiring, roadmap and delivery, incident command, SLOs, and cross-team coordination while driving engineering quality and async communication.

Lead and run engineering delivery end-to-end: own planning cadences, track projects, surface risks, command incident responses and run blameless RCAs, own delivery metrics, coach and grow engineers, run hiring pipeline, and enable the founder by removing operational load.

Lead a team of developers to architect and scale Node.js and Salesforce products, improve developer velocity, and enhance solution performance.

The AI/ML Engineering Manager leads ML engineering teams, manages client engagements, shapes architecture, ensures technical quality, and drives business growth through ML operations.

Lead and scale a global engineering organization to deliver enterprise-grade AI/GenAI SaaS products. Define technology strategy and roadmap, drive architecture for LLMs/RAG/NLP systems, ensure scalability/reliability, establish DevOps and quality practices, partner with Product/Sales/Customer teams, and manage hiring, budgets, and leadership development.

Lead and build shared AI infrastructure and production-grade agents for a product analytics team. Establish repo standards, evaluation tooling, governance compliance, monitor production agents, close data pipeline gaps, and drive adoption across ~35 analysts and 60+ products while interfacing with cross-team AI and data platform partners.

Lead Release Management, QA, and DevOps to build an automation-first quality engineering framework. Drive CI/CD, platform reliability, observability, and release gate processes across multi-platform (web and native) products. Coach QA toward automation, implement test data and environment standards, partner with product and support on release readiness and post-release remediation, and champion AI-assisted coding and testing adoption.