AI First Software Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI First Software Engineer based in Canada.

This is an opportunity for a software engineer to build and operate high-value digital marketplace systems at significant <scale.You>’ll work in an AI-first engineering environment where modern development tools are used to accelerate coding, testing, debugging, and documentation.The role combines hands-on software development with end-to-end ownership of scalable, resilient, and production-ready <systems.You>’ll contribute to customer-facing experiences and core platform services while partnering closely with Product, Data, Infrastructure, and SRE <teams.AI> will be treated as a practical engineering accelerator, while strong technical judgment, quality, reliability, and accountability remain <essential.You>’ll have the opportunity to influence platform modernization, introduce AI-enabled capabilities, and solve complex technical and business problems.This fully remote Canadian role is suited to engineers who are curious, product-minded, technically versatile, and eager to shape the future of software development.

Accountabilities

• Design, develop, deploy, and operate scalable services supporting high-volume digital marketplace workflows and customer-facing experiences.
• Build APIs and backend services within a modern, cloud-native and AI-enabled technology environment.
• Develop and integrate AI-powered capabilities into product features, including pricing logic, negotiation workflows, automation, and other business processes.
• Use AI development tools such as coding copilots, AI debuggers, test generators, and documentation assistants to increase engineering speed and effectiveness.
• Apply critical engineering judgment when reviewing AI-generated code and recommendations, ensuring solutions remain secure, maintainable, reliable, and production-ready.
• Design and maintain distributed systems, microservices, and event-driven architectures where appropriate.
• Partner with Product Managers to translate business and customer requirements into durable, scalable technical solutions.
• Work closely with Data Engineering, Infrastructure, and Site Reliability Engineering teams to deliver reliable platform capabilities.
• Participate in on-call rotations and provide operational support for live production systems.
• Monitor and improve system reliability, performance, security, observability, and overall operational health.
• Contribute to technical direction, engineering standards, architecture decisions, and the long-term modernization of platform systems.
• Apply AI-assisted approaches to coding, refactoring, test coverage, debugging, root-cause analysis, documentation, and repetitive engineering tasks.
• Take ownership of features and systems throughout their lifecycle, from design and implementation through deployment and ongoing support.

Requirements

• 3+ years of professional experience building and supporting production software systems.
• Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience.
• Strong backend development experience with one or more languages such as Java, Kotlin, Go, Python, .NET, Ruby, or a similar technology.
• Solid understanding of APIs, distributed systems, cloud-native architecture, and modern software engineering principles.
• Experience working with modern CI/CD environments and production deployment practices.
• Experience with observability, monitoring, troubleshooting, and incident response.
• Demonstrated ability to own features and systems end-to-end, including reliability and operational performance.
• An established AI-first development mindset, with hands-on use of tools such as code copilots, AI debugging assistants, or automated test-generation tools.
• Ability to critically evaluate AI-generated outputs rather than accepting them without technical validation.
• Curiosity about applying AI to practical customer and business problems and the ability to adapt as AI development tooling evolves.
• Strong product mindset, with an understanding of how technical decisions affect customers, business outcomes, and overall user experience.
• Excellent collaboration and communication skills, with the ability to work effectively across Product, Data, Infrastructure, and SRE teams.
• Frontend experience with React or TypeScript is an asset.
• Experience with AWS or comparable cloud platforms is an asset.
• Familiarity with microservices, event-driven architectures, SQL, and data-driven applications is an advantage.
• Experience in marketplace, e-commerce, or other high-volume transaction environments is a plus.
• Reliability engineering or SRE experience is beneficial.
• Experience modernizing or migrating legacy systems is an advantage.

Benefits

• Salary: CA$95,000–CA$140,000 annually, depending on experience, skills, qualifications, and other relevant factors.
• Remote work: Fully remote opportunity for candidates based in Canada.
• Competitive overall compensation package.
• Medical, dental, and vision benefits, with applicable health spending account options.
• RRSP with company matching for Canadian employees.
• Paid vacation, personal, and sick time.
• Robust Employee Assistance Program.
• Employer-supported volunteer day to give back to the community.
• Tuition reimbursement for eligible programs.
• Opportunities to broaden technical expertise and share knowledge across a global organization.
• Internal promotion opportunities, diverse career paths, and meaningful opportunities for professional advancement.
• Opportunity to work on large-scale marketplace technology and contribute to an organization-wide AI and platform modernization initiative.