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AI Software Engineer
Remote / Online - Candidates ideally in
Swift Current, Regina, Saskatchewan, S4M, Canada
Listed on 2026-02-20
Swift Current, Regina, Saskatchewan, S4M, Canada
Listing for:
Cority
Remote/Work from Home
position Listed on 2026-02-20
Job specializations:
-
Software Development
AI Engineer, Software Engineer
Job Description & How to Apply Below
Location: Swift Current
Overview
Employer Industry: EHS Software Solutions
Why consider this job opportunity:
- Salary up to $140,000 a year
- Opportunity to work in a values-driven, performance-oriented, dynamic, and growth-focused culture
- Supportive remote working environment with a one-time home office allowance and subsidized monthly internet allowance
- Competitive health benefits, dental plans, and retirement savings plans (RRSP, 401K plan, etc.)
- Annual fitness allowance and mental health support through access to Calm Premium meditation app and Talkspace
- Access to training programs, annual training allowances, certifications, and High Talent Programs
- Design, build, and ship agentic workflows across multiple domains, including research agents, coding assistants, and conversational agents
- Own the end-to-end lifecycle of AI agents, from data ingestion to action taking and evaluation
- Build multi-step agents capable of autonomous planning, context tracking, and API orchestration
- Architect systems using modern agent stacks and deploy agents as microservices with proper observability
- Mentor junior developers and communicate directly with Product Owners to ensure requirements are understood
- Must have a university degree in computer science or a related program
- 8+ years of experience as a developer, with 2+ years as an AI developer
- Strong understanding of the software development process and lifecycle
- Experience with Agile and Scrum methodology
- Proven knowledge of LLMs, agent frameworks, and various database technologies
- Experience with No
SQL databases like MongoDB - Familiarity with AWS or Azure
- Knowledge of multi-tenancy and machine learning
- Experience with Docker
- Previous experience in the field of occupational health, environment, ergonomics, or safety
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