- Toronto, Ontario, Canada
- Mid
- CA$90K–CA$130K per year
- 2–5 years
Build and deploy AI-enabled solutions across investment, finance, compliance and operations teams, combining full-stack engineering, data pipelines, system integrations and AI experimentation.
Compensation
Compensation range: CAD$90,000 to CAD$130,000
Responsibilities
- Partner with business units across investment, finance, compliance and operations to understand operational problems, scope technical solutions, and rapidly prototype and iterate based on real-world feedback.
- Design and build data pipelines that move, transform, and prepare data from internal systems for use in AI and analytics workflows.
- Own end-to-end integrations between internal platforms and third-party APIs, including authentication, error handling, and ongoing maintenance.
- Contribute to foundational infrastructure decisions – data storage, service architecture, deployment patterns – as the firm's data and AI platform matures.
- Build and deploy production-ready AI applications, including RAG pipelines, agentic workflows, and LLM integrations, with a pragmatic eye toward what actually works at scale.
Requirements
- Bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience.
- Nice to have: experience in financial services or alternative asset management
- Nice to have: familiarity with structured financial data
- Nice to have: compliance constraints