Hybrid GenAI Software Engineer - Scalable AI & LLMs

BMO Financial; Toronto; Hybrid; CAD 75,000 - 142,000; Full time

Job summary

A leading financial institution in Toronto is seeking a GenAI Software Engineer to develop and implement scalable AI solutions. The ideal candidate will have 5–7 years of experience in software architecture, hands-on expertise with LLMs, and a strong foundation in Python. This hybrid position requires collaboration with cross-functional teams to design cloud-native AI systems and optimize business workflows.

Benefits

In-depth training and coaching

Flexible work environment

Opportunities for growth and impact

Qualifications

• Typically 5–7 years of relevant experience in software architecture, engineering design and product development.
• Hands-on experience with LLMs and Agentic AI automation.
• Deep knowledge in Python with clean and efficient coding.

Responsibilities

• Develop automation workflows to improve business processes.
• Create AI and GenAI integrations for model serving.
• Collaborate with cross-functional teams to design scalable AI solutions.

Skills

LLMs and prompt engineering

Python

API integration

Agile methodologies

Cloud platforms

Education

Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Tools

Azure

AWS

CI/CD pipelines

Job description

A leading financial institution in Toronto is seeking a GenAI Software Engineer to develop and implement scalable AI solutions. The ideal candidate will have 5–7 years of experience in software architecture, hands-on expertise with LLMs, and a strong foundation in Python. This hybrid position requires collaboration with cross-functional teams to design cloud-native AI systems and optimize business workflows.