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Updated 2026-07-02 17:00 UTC·© 2025–2026 RoleSuite
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Senior Backend Engineer (Ruby), AI Engineering: Duo Agent Platform Tools

Jobgether · Canada

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Backend Engineer (Ruby), AI Engineering: Duo Agent Platform Tools based in Canada.

This role sits at the intersection of backend engineering and applied AI systems, focused on building the next generation of agentic tools that enable AI agents to interact with the full software development lifecycle. You will work on highly visible platform capabilities that extend beyond traditional coding assistance into orchestration, automation, and system-level interaction. The position involves designing and maintaining robust backend services in a large-scale monolithic Ruby on Rails environment, with a strong emphasis on APIs, reliability, and scalability. You will collaborate closely with AI specialists, product managers, and engineers to define how intelligent agents integrate with core platform functionality. The environment is fast-paced, highly technical, and deeply collaborative, with a strong culture of engineering excellence and continuous learning. This is an opportunity to shape foundational infrastructure for AI-driven development workflows at scale. The role is ideal for engineers who enjoy solving complex backend problems at the frontier of AI and developer tooling.

Accountabilities:

In this role, you will design, build, and maintain backend systems that power AI agent interactions across the software development lifecycle, ensuring reliability, scalability, and high-quality user experiences.

  • Develop, ship, and maintain backend features for agentic tools within a large-scale Ruby on Rails monolith
  • Design and implement REST and GraphQL APIs that expose platform capabilities to AI agents and frontend systems
  • Collaborate with Product, UX, AI specialists, and engineering teams to refine requirements and deliver iterative improvements
  • Improve automated testing frameworks (e.g., RSpec) to strengthen system reliability and developer confidence
  • Participate in architectural discussions and help define patterns for safe and scalable AI integrations
  • Contribute to observability, incident response, and Tier 2 on-call support, including root cause analysis and system improvements
  • Enhance platform performance, security, and maintainability across backend services
  • Share engineering best practices and contribute to raising standards across AI engineering initiatives
  • Requirements:

    The ideal candidate is a strong backend engineer with deep Ruby on Rails experience and a solid understanding of API design, scalable systems, and modern engineering practices in complex environments.

    • Strong experience building production systems with Ruby on Rails, including APIs, background jobs, and data modeling
    • Experience designing and maintaining REST and/or GraphQL APIs with attention to scalability and maintainability
    • Comfortable working in large, mature codebases and collaborating across full-stack environments
    • Strong software engineering fundamentals, including testing, debugging, and system design
    • Experience working in cross-functional teams with Product, Design, and Engineering stakeholders
    • Familiarity with backend systems and willingness to work across adjacent technologies (Python or frontend frameworks is a plus)
    • Strong ownership mindset with ability to operate independently and deliver high-quality work
    • Interest in AI systems, agentic workflows, or developer tooling is highly valued
    • Strong communication skills and ability to collaborate in distributed, remote-first teams
    • Benefits:

      • Competitive salary with equity participation
      • Flexible paid time off and company holidays
      • Comprehensive health, dental, and vision coverage (region-dependent)
      • Parental leave and family support policies
      • Employee equity programs including early exercise options
      • Learning and development budget for professional growth
      • Remote-first work environment with global collaboration opportunities
      • Home office support and equipment provisions
      • Regular team events, offsites, and knowledge-sharing sessions
      • Strong engineering culture focused on quality, autonomy, and continuous improvement

AI Engineering pay context

Based on 577 disclosed AI Engineering salaries on RoleSuite, the role pays a median of $205K/year, with most offers between $167K and $242K (10th–90th percentile: $131K–$276K).

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