Build and harden AI-powered systems that transform financial filings into clean, actionable data for investment professionals. Work at the intersection of rigorous backend engineering and applied LLMs in a fast-growing FinTech.
Five or more years of professional engineering experience
Strong proficiency in Python with Django experience
Hands-on experience working with LLMs in production environments
Experience with distributed systems and asynchronous task queues
Solid understanding of RESTful and GraphQL API design
Ability to break down and drive complex technical problems to completion
Clear communication and strong ownership over work outcomes
Genuine interest in financial data and supervised learning systems
Experience owning production systems at high-growth technology companies
Design and develop secure scalable backend APIs and services using Python Django and FastAPI
Build pipelines write evaluations and iterate on prompting strategies for LLMs
Implement LLM observability monitoring and evaluation systems
Design efficient database schemas optimize SQL queries and maintain data integrity
Collaborate with cross-functional teams to translate requirements into technical solutions
Participate in code reviews and contribute to high coding standards
Fully remote role based in Toronto Canada with expected travel to NYC headquarters
Compensation includes annualized salary plus equity and benefits
Fast Company Most Innovative Companies 2026 award winner
Mission is to become market leader in high-quality actionable investment data
Work judged on coverage speed and accuracy for hedge fund analysts
168,000 β 304,750 USD
/ year
124,000 β 195,500 USD
/ year
135,482 β 227,700 USD
/ year
184,000 β 356,500 USD
/ year
170,000 β 190,000 USD
/ year