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Senior Software Engineer

Intercept Group
Toronto, CAN
Full-time
Senior · 5+ years experience
Onsite
Discovered 1 weeks ago
azure

Full Job Posting

Responsibilities

  • Own and improve internal systems, tooling, and frameworks so they stay reliable, documented, and easy to hand off
  • Strengthen continuity across Intercept's internal platforms and product systems
  • Build and operate in the Azure cloud stack as part of day-to-day engineering
  • Design, integrate, and harden AI-enabled tooling and workflows that make internal platforms more useful and dependable
  • Help orchestrate our own frontier models and AI inference capacity so teams can run serious AI workloads with confidence
  • Work with state-of-the-art AI agentic tools and help the Technology team adopt practical AI engineering patterns with clear documentation and operational readiness
  • Partner with Technology leadership and cross-functional teammates on shared priorities
  • Apply strong engineering and security best practices in how systems are designed, built, and run
  • Raise the bar through clear documentation, collaboration, and operational readiness
  • What Success Looks Like:
  • The systems and tooling you own have clear ownership, documentation, and handoff paths
  • Azure-based work lands reliably and is easy for others to operate
  • AI-enabled internal tooling gets adopted and stays maintainable in day-to-day use
  • Our own frontier models and inference capacity run as dependable infrastructure
  • You use state-of-the-art AI agentic tools with real ownership and autonomy
  • Engineering and security best practices show up in the day-to-day work
  • Teammates know who to ask and how to keep work moving when you are not in the room
  • Internal platforms stay maintainable as the company and team grow

Qualifications

  • 5+ years of professional software engineering experience with ownership of production or internal systems
  • Experience with the Azure cloud stack
  • Hands-on experience building or operating AI-enabled software (APIs, tooling, workflows, agents, or internal products that use frontier models)
  • Experience with frontier model orchestration and/or AI inference capacity (running, routing, or operating model workloads in production or internal platforms)
  • Comfort with state-of-the-art AI agentic tools, and evidence you can work with a high degree of autonomy
  • Comfort working across evolving internal platforms, tooling, and frameworks, and improving operability and documentation
  • Clear written and verbal communication with engineers and non-engineers
  • Strong grounding in engineering and security best practices (testing, operational readiness, least privilege, and secure handling of systems)
  • Track record of professional and personal builds using AI or agentic coding workflows, with shipped work you can point to
  • Able to work fluidly in a digital, cross-functional Technology environment

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