Top Python Jobs in Toronto

Design, build, and productionize LLM-powered applications and agentic AI systems. Develop data and inference pipelines, deploy and monitor models, define evaluation frameworks, optimize performance/cost, and enforce governance, safety, and observability to deliver scalable AI-driven customer experience solutions.

Lead QA for backend and distributed systems: design test strategies, automate API and backend tests, validate databases and message-driven workflows, test high-concurrency and fault-tolerant scenarios, integrate CI/CD, monitor production, debug incidents, and drive QA best practices and AI-assisted testing improvements.

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.

Build end-to-end product features across the stack for a payments platform: design and implement frontend and backend components, RESTful APIs, and scalable services; collaborate with product, design, and business teams; optimize performance and reliability; integrate with banking/payment networks and LLMs.

Lead monitoring, detection, and investigation of credit card and payments fraud. Configure and optimize detection rules and scoring models, analyze transaction patterns, conduct investigations and reporting, develop prevention strategies and controls, collaborate with cross-functional and external partners, and support recovery and automation initiatives to reduce financial loss while preserving customer experience.

Lead architecture and development of scalable, secure full‑stack services for card and payments systems using PHP and Python. Design REST APIs and microservices, optimize MySQL performance, drive CI/CD and testing standards, champion security and compliance, influence AI tooling strategy, and mentor mid and junior engineers.

Lead end-to-end product development and delivery for credit card and payments platform integrations. Drive partner implementations, define product requirements and positioning, monitor KPIs, and mentor product team members while ensuring cross-functional alignment and execution excellence.

Build and maintain PHP and Python services and RESTful APIs powering credit card issuance, rewards, and payments. Own features end-to-end, make architectural decisions, optimize MySQL queries, integrate with banking cores and payment networks, and mentor junior engineers while working asynchronously in a remote-first environment.

Work directly with clients to scope, prototype, and deploy AI-powered workflows. Build scalable systems using LLMs, embedding and retrieval systems, and backend infrastructure. Translate messy data and operational constraints into production-ready solutions, iterate with stakeholders, and maintain deployed systems (including on-call support).

Design and implement production-grade agentic AI systems and platform components that generate enterprise agents from messy source material. Architect agent workflows (reasoning, tool use, retrieval, guardrails), build evaluation and RAG/embedding systems, diagnose performance issues, and collaborate with product and engineering teams to deliver scalable, reliable AI agent features in AWS.

Lead enterprise data architecture across AWS and Databricks Lakehouse: design scalable data models, ensure governance and data quality, mentor teams, evaluate and adopt data technologies (Delta Lake, Unity Catalog), oversee large projects and deliverables, and incorporate generative AI to accelerate data modeling and delivery.

Partner with sales to deliver code-level demos and custom API integrations; build sandboxes, sample code and Postman collections; troubleshoot webhooks, auth, and payment flows; respond to technical RFPs and relay field feedback to Product and Engineering.

Lead growth-focused data science across cross-functional squads: design experiments, build models and dashboards, run causal analysis and forecasting, define KPIs, identify high-leverage opportunities, and drive data-informed product and marketing decisions to improve acquisition, retention, and monetization.

Lead growth-focused data science within a cross-functional squad: define KPIs, run experiments, perform causal inference and forecasting, build dashboards and self-serve tools, identify high-leverage opportunities across acquisition, activation, retention and monetization, and evangelize data-driven decision making to drive measurable business impact.

Lead and grow a Vincent AI software engineering team: collaborate with product and design, design technical solutions, perform code reviews and hands-on development, hire and coach engineers, drive roadmaps, and improve processes with an AI focus.

Design, build, and maintain full-stack web applications for insurance pricing using Python backends (Flask/FastAPI) and React/TypeScript frontends. Translate product requirements into scalable, tested production features, improve observability and reliability, perform code reviews, and participate in agile processes. Implement pricing algorithms, data visualizations, and CI/CD pipelines while refining systems to meet SLOs.

Develop and own Python-based pricing features end-to-end: design and build RESTful APIs and pricing algorithms, deploy cloud-native services, ensure observability and reliability, participate in agile processes, perform code reviews, and collaborate with product, UX, and data teams to deliver scalable production software.

Develop and optimize auto-labelling systems using ML and computer vision, manage data pipelines, and collaborate with researchers.

Intern will be part of a team developing AI algorithms for Autonomous Vehicles, contributing to research projects and publications.

Build, maintain, and operate Mimica’s multi-region Kubernetes platform (GKE/EKS), infrastructure-as-code, GitOps pipelines, and observability. Support engineering teams, triage incidents, migrate IaC to Crossplane, drive FinOps, and design BYOC/single-tenant access patterns while automating work with Python tooling.

Lead the design and development of AI services, managing technical teams to create enterprise-wide Generative AI platforms and solutions.

Design, develop, and test software for software analytics, source-code mining, software analysis, reverse engineering, and migration. Rapidly prototype research ideas into code transformations and prototypes, collaborate with product teams to integrate solutions into Huawei products, and apply computer vision and machine learning expertise to advance applied 3D AI research.

The role involves researching and developing advanced networking technologies for AI infrastructure and cloud data systems at Huawei, focusing on performance and innovation.

Lead strategy and execution for Direct-to-Consumer lending products, owning borrower lifecycle and P&L. Use quantitative analysis and testing to find product, conversion, and growth opportunities. Drive cross-sell, retention, and program performance with Product, Credit, Finance, Marketing and PMO, and present strategic recommendations to executives.

Design, build, and deploy Generative AI solutions (LLMs, RAG, vector DBs, agents) for financial use cases. Architect scalable AI infra, containerize models, implement CI/CD and MLOps, evaluate model performance, and collaborate with engineering and stakeholders to productionize safe, reliable GenAI systems.