Principal Software Engineer

AlphaSense; Canada; On-site; CAD 250,200 - 305,800; Full time

Benefits offered by this job

Potential for equity

Generous benefits program

Career advancement opportunities

Job summary

A leading market intelligence firm in Canada seeks an experienced engineer to own the architecture and evolution of a large-scale data extraction platform. The role involves designing reliable systems, mentoring senior engineers, and implementing innovative AI solutions. Ideal candidates have 15+ years of experience in building production systems and a strong understanding of data processing at scale. The company offers a competitive salary, equity options, and a collaborative work environment.

Qualifications

• 15+ years of experience in related fields.
• Proven experience with data processing systems at scale.
• Demonstrated ability to design trustworthy AI systems.

Responsibilities

• Own architecture of a data extraction platform.
• Design reliable systems to process large records.
• Implement AI-based solutions for validation minimization.
• Mentor senior engineers and shape technical culture.

Skills

Building and operating large-scale production systems

Designing data ingestion systems

Expertise in distributed systems and AI/ML

System reliability understanding

Job description

Overview

Employer Industry: Market Intelligence and AI Technology

Why consider this job opportunity:

• Salary up to $278,000 CAD
• Potential for equity and a generous benefits program
• Opportunity for career advancement and growth within a dynamic and innovative team
• Work in a collaborative and inclusive environment that values diverse perspectives
• Chance to lead the design and evolution of cutting-edge AI-driven systems

Responsibilities

• Own the architecture and evolution of a large-scale data extraction and normalization platform
• Design systems that process hundreds of thousands of records across various sources with high reliability
• Define and implement strategies to minimize human-in-the-loop validation through AI-based solutions
• Serve as a technical escalation point for production issues and reliability failures
• Mentor senior engineers and contribute to shaping the technical culture

Qualifications

• 15+ years of experience building and operating large-scale production systems
• Proven experience designing data ingestion, extraction, or processing systems at scale
• Deep expertise in distributed systems, data platforms, and AI/ML-powered extraction systems
• Strong understanding of system reliability, observability, and failure modes
• Demonstrated ability to design trustworthy systems that combine probabilistic and deterministic approaches

Preferred Qualifications

• Experience with document understanding, NLP, or financial data extraction
• Familiarity with cloud-native architectures and modern data stacks
• Experience shaping or owning internal platforms used by multiple teams

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