AlphaSense
Principal Software Engineer
Remote - Canada +1 · Remote · Principal · Full-time · Posted Feb 4, 2026
- Location
- Remote - Canada
Remote - United States - Experience
- 15+ years building and operating large-scale production systems.
About the job
Leads the architecture, reliability, and evolution of a global platform that extracts and normalizes financial data from diverse sources using AI and deterministic systems.
What you'll do
- Own and improve the large-scale data extraction and normalization platform, including reliability, accuracy, and scalability.
- Reduce human validation through AI-based validation, confidence scoring, provenance tracking, and deterministic safeguards.
- Set technical direction and quality standards; resolve systemic bottlenecks and production issues, and mentor engineers.
What they ask for
- Proven experience designing data ingestion, extraction, or processing systems at scale.
- Deep expertise in one or more of distributed systems, data platforms and pipelines, AI/ML-powered extraction or classification systems, or platform/infrastructure engineering.
- Experience designing trustworthy systems combining probabilistic AI and deterministic approaches, with strong understanding of reliability, observability, and failure modes.
- Technical leadership across teams without formal people management.
Nice to have
- Experience with document understanding, NLP, or financial data extraction.
- Experience with provenance, lineage, or confidence-scoring systems; familiarity with cloud-native architectures and modern data stacks; or experience owning internal platforms.
Pay
$202,000 — $278,000 CAD (base salary)
Tools
AI/ML, HTML, PDF, APIs, XLS
AI focus
Uses AI alongside deterministic systems to extract and standardize financial data, validate outputs, score confidence, track provenance, and reduce human validation.
Model-written summary · the original posting is authoritative