AI Engineer (Remote)

Role overview

Responsibilities

• Design, build, and deploy AI models in production, beyond prototypes or wrappers.
• Develop and maintain backend Python services for intelligent automation workflows.
• Build enterprise data pipelines for financial and regulatory documents, with quality checks and monitoring.
• Train and optimize models on banking rules, compliance standards, and regulatory datasets.
• Build intelligent routing for automated approvals and human escalation of complex cases.
• Influence architecture, delivery models, and technology-stack decisions with engineering leadership.
• Embed regulatory considerations into product features.

What the employer is looking for

• 3–5+ years of AI/ML engineering experience and a record of deploying AI at scale.
• Strong backend Python and 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.
• Enterprise application background such as chatbots, workflow automation, RAG pipelines, or intelligent document processing.
• Understanding of regulated industries such as financial services or insurance and compliance-aligned model design.
• Comfort influencing technical direction in a lean team and adapting to an evolving startup-like technology stack.

Workplace

• The position is fully remote and requires a comfortable home office.
• Candidates must be based in regions aligned with Pacific, Central, or Eastern U.S. time zones.

Compensation

• Annual salary range is CAD 70,000–200,000, with final compensation based on qualifications, expertise, experience, and role scope.

Schedule

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

Benefits

• Flexible working hours in a remote environment.
• Medical and dental insurance for T4 employees.
• Professional development fund and soft-skill development courses.
• 15 days of paid time off annually.
• Dedicated to one project at a time and access to projects using leading technology.

Application timeline

• Applications accepted until October 4, 2026; feedback expected by October 12, 2026.