Top Python Jobs in Toronto

The Full Stack Engineer will develop both frontend and backend solutions to empower business users in data analysis without technical skills, utilizing various technologies including NextJS and Python.

Seeking a Full-Stack Engineer with 3+ years of experience to develop and enhance data collaboration tools using LLMs, focusing on frontend and backend development.

Join Clio's Toronto engineering team to build scalable, reliable web applications (primarily Ruby on Rails). Collaborate in agile, cross-functional teams, review code, optimize databases, mentor peers, and help deliver high-quality SaaS products while applying AI to improve engineering and product outcomes.

The Deployment Engineer will build and operate AI inference clusters, ensure scalable deployments, optimize allocation, and maintain infrastructure. Responsibilities include software updates, telemetry development, and collaborative improvements with teams.

As a Software Engineer at Zip, you'll design and build core products and features, collaborate with teams, write high-quality code, and develop AI-driven features while tackling complex technical challenges.

The Network Specialist will support and enhance the company's global network by designing, implementing, and optimizing network infrastructure and application delivery solutions across various environments.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

Ensure reliability, operability, and controlled enablement of the enterprise AI platform. Administer platform availability, monitoring, incident response, observability, automation, release/change coordination, governance controls, asset visibility, and production readiness. Implement AIOps use cases, maintain telemetry and documentation, and collaborate with engineering, security, and risk teams to meet compliance and operational standards.

The Principal Machine Learning Architect will design and implement data-centric ML solutions, ensuring high-quality ML model development and deployment strategies for a leading ad tech company.

Design and build distributed backend systems, microservices, and near-real-time data ingestion and processing. Scale an incrementality experimentation platform, add AI-powered workflows, extend data integrations and partner exports, and contribute frontend components as needed to deliver end-to-end product features.

Lead architecture and implementation of agentic AI systems powering Zuma's platform. Rebuild onboarding and integration frameworks, implement analytics and observability for LLM performance, translate product needs into technical solutions, mentor engineers, establish engineering standards, and work directly with customers to enable scalable, production-grade AI experiences.

Serve as technical bridge for customer onboarding and integrations: maintain/debug internal admin tools, configure feature flags, ensure PMS/CRM API integrations, update docs, troubleshoot regressions and basic AI hallucinations, and collaborate with engineering to automate onboarding/support workflows.

Lead end-to-end development and production deployment of agentic AI systems and full-stack products. Architect integrations with property management systems, improve reliability and observability, define engineering standards, and partner with product and operations to ship scalable AI agents across voice, text, and email.

Provide L2/L3 IT support, manage Azure services, corporate network devices, Active Directory, and cloud infrastructure, ensuring reliable IT Security systems while collaborating in a global team.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Chief of Staff/Business Operations Manager will drive strategic initiatives, optimize processes, and collaborate with executives to achieve company objectives.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

As a Founding Engineer, you'll develop backend systems, optimize applications, and influence technical direction for an AI-powered knowledge platform.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

The Senior Software Engineer will build and maintain the Boreal hosting platform and Moose open-source project, mentor junior team members, and collaborate with product and design teams.

The AI Engineer will design, develop, and deploy AI-powered systems, improve operations with intelligent workflows, and collaborate on high-leverage AI opportunities.

As a Data Engineering Architect, lead the transformation of data engineering into a modern platform, oversee architecture and technical leadership, design scalable systems, ensure data quality and governance, and mentor teams for a data-driven culture.