Research Software Engineer (hybrid Montreal)

Research-and-infrastructure engineering position at an established Montréal fintech. The role turns hypotheses and rapid analysis into production systems, with a strong focus on real-time data, LLM-enabled tooling and infrastructure performance.

Responsibilities

• Expand event-driven systems across exchange feeds, news, social data and infrastructure telemetry.
• Use Python/Jupyter for rapid signal analysis and convert findings into production improvements.
• Build agentic LLM workflows with tools, context management, evaluations and guardrails.
• Own performance from network edge through in-memory systems, including monitoring and production debugging.
• Lead green-field builds, design reviews and post-mortems.

Profile

• 3–5 years building real-time or data-intensive systems.
• Deep practical knowledge of LLM behavior and production scaffolding.
• Strong Python, Go, Rust or comparable systems-engineering background.
• Knowledge of TCP/UDP/IP, DNS, BGP, HTTP(S), WebSocket and QUIC.
• Bachelor’s or master’s in computer science, data science, mathematics or related field.

Hybrid in Old Montréal. Salary advertised up to C$140,000 plus perks.