Top Tech Jobs & Startup Jobs in Toronto

Design and lead end-to-end AI/ML and GenAI architectures (data pipelines, training, inference, MLOps). Advise clients, integrate LLMs, build RAG systems, benchmark platforms, mentor teams, ensure responsible AI, and align ML strategy with business goals.

Customer-facing senior engineer who performs technical discovery, rapidly prototypes AI proofs-of-concept, embeds with client teams to deploy production-grade systems, handles complex integrations across cloud environments, documents hand-offs, and establishes scalable AI workflows and platform patterns.

As a Senior Software Engineer, you will develop high-quality software applications, mentor teams, and drive project deliveries while collaborating with various stakeholders.

Design, build, and maintain batch and real-time data pipelines and ETL/ELT processes using Oracle and cloud data platforms. Optimize SQL and stored procedures, ensure data quality and compliance, automate data workflows, analyze data, and mentor junior engineers.

Lead design and implementation of scalable, secure Python-based distributed systems and AI/agentic workflows using LLMs. Own features from design to production, remediate technical debt, ensure code quality and SCA remediation, collaborate with product and engineering leadership, and maintain documentation and observability.

Design, implement, test, and maintain high-quality Python backend services and REST APIs. Ensure security via SCA, participate in code reviews, own technical designs, estimate and report status, document requirements, and collaborate with cross-functional teams to deliver scalable, production-grade systems.

As a Senior Software Engineer, you'll analyze data integrity issues, craft high-quality client code, collaborate with project stakeholders, and drive project delivery while mentoring others in Agile methodologies.

Design, build, test, and maintain enterprise C#/.NET applications within agile teams. Develop scalable REST APIs and data models, write automated unit tests, enforce SOLID/OOP practices, mentor engineers, participate in planning/code reviews, and communicate with clients to deliver high-quality solutions.

As an AI/ML Architect, you will define architecture for AI solutions, guide teams, mentor, and align initiatives with business goals, focusing on ethical practices.

Design and deliver enterprise-scale EDW and BI solutions, ensuring performance and scalability, while mentoring teams and engaging stakeholders.