Public opening managed by Calliere Group. You can apply directly through RBB without creating an account, or view the original posting.
- Recruitment agency:
- Calliere Group
- Location
- Montréal, QC
- Work model
- Hybrid
- Employment type
- Full time
- Experience level
- Not publicly disclosed
- Department
- Not publicly disclosed
- Function
- Not publicly disclosed
- Industry
- Fintech / Technology
- Published
- 2026-08-05
Role description
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.
Qualifications
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.
Additional information
Hybrid in Old Montréal. Salary advertised up to C$140,000 plus perks.
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Public opening managed by Calliere Group. RBB receives direct applications for sharing with the recruiter or agency responsible for the opening. Original posting