Top Tech Jobs & Startup Jobs in Toronto

Lead the design, deployment, and operation of scalable AI/ML models and generative AI applications. Manage and mentor distributed engineering teams, own the AI capability roadmap, collaborate with product and engineering stakeholders, and align technical delivery with business goals. Oversee model monitoring, performance optimization, governance, and responsible AI practices across enterprise systems supporting e-commerce and payments.

Build and operate production AI systems including conversational agents, RAG applications, tool-calling workflows, knowledge agents, and intelligent automation. Design backend services, distributed event-driven architectures, evaluation pipelines, model integrations, observability, and reliability safeguards. Diagnose hallucinations, retrieval issues, agent failures, latency, provider problems, and inference costs. Independently translate ambiguous product goals into secure, scalable, measurable, and cost-efficient AI products.

Build and operate production AI systems including conversational agents, RAG applications, tool-calling workflows, intelligent automation, and LLM integrations. Develop Python backend services, APIs, asynchronous workers, event-driven workflows, and data systems. Implement evaluations, observability, reliability, security, guardrails, and cost optimization while debugging retrieval, hallucination, latency, and agent execution issues. Collaborate with engineering, architecture, and product teams to turn product goals into maintainable AI features.

Leads architecture and development of an AI-powered backend platform using agent orchestration, LLMs, RAG, high-throughput APIs, and distributed systems. Owns production delivery, CI/CD, observability, FinOps, security, model integrations, and reliability. Mentors and hires engineers, partners with Product and Security, and establishes technical roadmaps for scalable, enterprise-grade AI services.

Operate and scale the application security program by maintaining security scanning tools, triaging and validating findings, prioritizing remediation, tracking vulnerabilities to closure, onboarding repositories, and improving documentation and processes. The role also involves communicating vulnerabilities to developers and performing basic Python scripting and automation under senior guidance.

Design, build, and maintain Python backend services and internal APIs for high-traffic hosting platforms. Administer Linux production systems, optimize MySQL queries and schemas, troubleshoot incidents, and participate in on-call rotation. Collaborate with senior engineers and cross-functional teams to deliver tested features, modernize legacy Perl systems, and contribute to technical design decisions. Apply AI responsibly throughout development, debugging, testing, and code review.