Research Software Engineer (hybrid Montreal)
Summary
Builds and deploys AI systems, writes Python analysis notebooks, and designs agentic tooling for data extraction and classification in a hybrid Montreal role.
- Build production systems from research results
- Create analysis notebooks in Python
- Deploy LLMs for extraction classification and triage
- Design agentic harnesses with tooling and context management
- Drive greenfield system builds design reviews and post mortems
- Form hypotheses
- Grow event driven approach for data feeds and telemetry
- Implement evaluation and guardrail systems
- Instrument monitor and debug live systems
- Maintain service level objectives
- Test hypotheses with data analysis
- Translate outcomes for technical and non technical audiences
Perks/Benefits:
- Hybrid work environment