AI Engineer

4 days ago

Toronto, CanadaMid Level

Responsibilities

Collaborate with the Enterprise Architect to design and implement solutions aligned with the platform capabilities roadmap.
Research and pilot current GenAI technologies and practices.
Develop and deploy scalable AI solutions and automation workflows for high-impact, validated business use cases.
Create and maintain technical designs covering application functionality, solution designs, data models, interfaces, and integrations.
Enhance DevOps practices and tools to enforce software guardrails and improve engineering automation, cost, and risk.
Stay current with cloud technologies, AWS services, and AI/ML developments.
Provide post-production support, troubleshooting, performance optimization, and continuous improvement for deployed applications.
Explain technical approaches and decisions to varied stakeholder groups and support and mentor junior team members.

Bachelor’s degree in computer science or a relevant field.
At least 3 years of development experience.
Practical experience with Python, AWS Lambda, Java, and APIs.
Experience developing AI bots or agents.
Familiarity with chatbot development concepts, RAG techniques, and vector databases.
Experience with DevOps culture, tools, and best practices.
Strong communication, presentation, collaboration, problem-solving, analytical, and trade-off evaluation skills.
Ability to contribute effectively in an Agile team environment and commitment to transparent teamwork.

Wellness programs supporting mental, physical, and financial health.
Opportunities to move along varied career paths with networking potential.
Hybrid work arrangement allowing employees and leaders to choose working from home or the office based on business and client needs.
Recognition as a 2024 Best Workplace in Ontario and for mental-health-at-work excellence.

10,000+ employees