Top Tech Jobs & Startup Jobs in Toronto

Build and scale production-grade GenAI services, including MCP Server, MCP Gateway, and AI Agent systems. Responsibilities include end-to-end feature ownership, architecture, implementation, deployment, monitoring, debugging, testing, documentation, and collaboration with product and design teams. The role emphasizes scalable and reliable software, AI-assisted development, security, guardrails, PII filtering, and continuous engineering improvement.

Lead architecture and implementation of a unified, cloud-native data feed platform. Design scalable ingestion, transformation, and delivery pipelines; establish DataOps, governance, monitoring, CI/CD, and performance best practices; mentor engineers and influence cross-team technical strategy.

Lead North American software engineering teams supporting retirement technology products. Responsibilities include hiring and developing engineers, establishing architecture and engineering standards, improving software delivery and operations, guiding AI-native engineering practices, and executing initiatives across multiple applications and teams. The role partners with Product Management on roadmaps, manages dependencies, removes blockers, and promotes quality, security, compliance, accessibility, ownership, and continuous improvement.

Owns global marketing automation platforms, data architecture, audience segmentation, reporting, analytics, governance, and martech strategy for the Credit business. Designs automation programs, lead scoring, lifecycle frameworks, integrations, attribution models, KPIs, and executive dashboards. Analyzes campaign and funnel performance to deliver actionable insights and recommendations. Requires strong platform administration, marketing data management, visualization, project management, and stakeholder communication skills.

Build and operate applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, MCP tools, APIs, and governed content-serving layers. The role emphasizes production reliability, provenance, security, cost and latency management, regression detection, and human-reviewed AI outputs. Responsibilities include cloud deployment, structured content modeling, telemetry, governance, mentoring, and collaboration on AI standards. Strong Python, TypeScript, AWS, API, data pipeline, and production LLM experience are required.

Build and operate production applied AI systems, including LLM integrations, agentic workflows, data pipelines, evaluation frameworks, APIs, MCP tools, and governed content-serving layers. Develop reliable extraction and classification agents, model evaluation harnesses, telemetry, and structured data pipelines. Ensure security, privacy, provenance, reliability, latency, and cost controls while mentoring engineers and contributing to AI governance and standards.

Provides legal counsel for Canadian structured finance and securitization transactions. Reviews transaction documentation, identifies legal and reputational risks affecting credit ratings, advises analysts and rating committees on legal issues and methodology exceptions, communicates with issuers and advisors, supports policies and procedures, and monitors legislative and case law developments. Requires expertise in secured lending and corporate commercial law, with Canadian insolvency and securitization experience beneficial.

Own the roadmap and backlog for managed investment calculations. Translate investment methodologies and business needs into calculation specifications, requirements, user stories, and acceptance criteria. Analyze complex datasets with SQL, prototype and validate calculations, investigate discrepancies, and collaborate with research, engineering, QA, and stakeholders to ensure accurate production implementation. Prioritize enhancements, manage methodology changes, document calculations, monitor quality and adoption, and communicate delivery risks.

Lead analyst responsible for managing a portfolio of Canadian banks, non-bank financial institutions, and credit unions. Perform ongoing financial and credit analysis, prepare rating committee presentations, reports and press releases, attend issuer meetings, participate in rating committees, and maintain client relationships. Produce surveillance, research, and written analysis while collaborating with the ratings team.

Analyze Canadian structured finance transactions, including collateral, deal structures, legal documentation, financial models, and cash-flow engines. Support rating committee presentations, reports, press releases, research, and credit recommendations. Build relationships with clients and external stakeholders while developing expertise in structured finance methodologies for ABS and ABCP transactions.