Senior AI Engineer

Role overview

What you'll do

• Design, build, and deploy production AI models; develop and maintain backend Python services for intelligent automation.
• Build enterprise-scale pipelines for financial and regulatory documents, including automated data-quality checks and monitoring.
• Train and optimize models using banking rules, compliance standards, and regulatory datasets.
• Create intelligent routing, including automated decisions for straightforward cases and human escalation for complex cases.
• Work with engineering leadership on architecture, delivery models, and stack decisions; embed regulatory considerations in product features.

What they're looking for

• 3–5+ years of AI/ML engineering experience and a record of deploying AI into production at scale.
• Strong backend Python skills; expertise with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Familiarity with data pipeline tools such as Airflow, Spark, or Kafka and orchestration frameworks such as n8n or LangGraph.
• Experience with enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.
• Understanding of regulated industries such as financial services or insurance and the ability to design compliance-aligned models.
• Able to collaborate in a lean team, influence technical direction, and adapt to evolving technology stacks.
• Candidates must be based in regions aligned with Pacific, Central, or Eastern U.S. time zones.

Work arrangement

• The position is 100% remote; candidates should have a comfortable office setup at their chosen work location.

Salary

• Annual salary range is CAD 70,000–CAD 200,000; final pay depends on qualifications, expertise, experience, and role scope.

Position details

• Full-time position requiring at least 40 hours per week, Monday through Friday.

Benefits

• Flexible working hours in a remote environment; health and dental insurance for T4 employees.
• Annual professional development fund, 15 days of paid time off, and access to soft-skill development courses.
• The role is dedicated to one project at a time and offers work with experienced developers and leading technology.

Application timeline

• Applications are accepted until October 25, 2026; feedback is expected by November 2, 2026.