Top Tech Jobs & Startup Jobs in Toronto

Lead and grow a backend and AI engineering team building AI-powered tax products. Hire, mentor, set technical direction, scope AI features end-to-end, collaborate with PM and Design, remove cross-team blockers, and improve engineering processes while developing domain expertise in tax workflows.

Hands-on technical leader building full‑stack customer-facing features across React/TypeScript frontends and Python/Node backends, contributing to AI capabilities (LLM integrations, agentic workflows, MCP), setting technical standards, mentoring engineers, and driving delivery from design through production.

Design, build, and operate backend and platform services powering AI agent workflows. Own CI/CD, progressive delivery, IaC-managed cloud infrastructure, observability, and incident response. Collaborate cross-functionally, make architecture decisions, mentor engineers, and participate in on-call rotation to ensure scalable, reliable production systems.

Design and implement full-stack customer-facing features using React, TypeScript, and Python. Contribute to AI-powered capabilities (LLM integrations, agentic workflows, MCP/A2A), ensure code quality, collaborate with product and design, own workstreams end-to-end, and mentor through pairing and reviews.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

The Senior Research Engineer will develop and deliver scalable ML solutions, collaborate with teams, and apply innovative technologies in AI to impact professionals in legal and accounting fields.

The Lead AI Forward Engineer designs AI solutions, guiding implementations for scalability and compliance, while mentoring teams and shaping technology strategy.

Lead a ~10-engineer team owning the Content Tools platform: design, implement, test, deploy, and operate API-first tooling and governance. Establish contribution standards, CI/CD evaluation pipelines, IR evaluation frameworks, observability, and SLOs. Coordinate cross-team integration with agentic AI workflows and ensure reliability, discoverability, and licensing controls for multi-tenant content access.

Design, build, and deploy scalable, secure machine learning solutions—with emphasis on recommender systems. Produce design docs and representative models, establish ML best practices and quality control, lead engineering efforts, and collaborate cross-functionally to integrate ML products using cloud, MLOps, and data engineering tools.

Lead technical design, architecture, and delivery of backend and platform services for AI agent workflows. Own cloud infrastructure, IaC, CI/CD, Kubernetes/EKS, and managed AI runtimes. Improve reliability, observability, performance, and cost efficiency; mentor engineers; drive cross-functional initiatives and participate in on-call support.