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Software Engineer, Systems Engineer, AI Engineer

Job in Gimli, Winnipeg, Manitoba, Canada
Listing for: AlphaSense
Full Time position
Listed on 2026-04-01
Job specializations:
  • IT/Tech
    Systems Engineer, AI Engineer (Applied/Software), Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 197000 CAD Yearly CAD 197000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer
Location: Gimli

Overview

Employer Industry: Market Intelligence and AI Solutions

Why consider this job opportunity
  • Salary up to $197,000 CAD
  • Opportunity for equity and a generous benefits program
  • Dynamic work environment that fosters innovation and collaboration
  • Commitment to creating an inclusive workplace where all employees feel valued
  • Chance to work on cutting-edge technology shaping the future of AI and search
  • Potential for mentorship and raising technical standards within the organization
What to Expect (Job Responsibilities)
  • Own the architecture and evolution of the large-scale data extraction and normalization platform
  • Design systems that process hundreds of thousands of records across heterogeneous sources with high reliability
  • Define and implement strategies to minimize human-in-the-loop validation through AI-based validation and confidence scoring
  • Establish clear system contracts for correctness, traceability, and confidence
  • Mentor senior engineers and contribute to long-term technical strategy while remaining hands-on with critical implementations
What is Required (Qualifications)
  • 10+ 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
  • Strong understanding of system reliability, observability, and failure modes
  • Track record of technical leadership across teams without formal people management
How to Stand Out (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
  • Experience building provenance, lineage, or confidence-scoring systems

#Market Intelligence #AI #Data Engineering #Career Opportunity #Inclusive Workplace

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