Senior Software Engineer

Toronto, Ontario, Canada
Remote
Posted Sep 27, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week

Job summary

You will own and improve internal systems, tooling, and frameworks while orchestrating AI-enabled workflows and frontier models. You will partner with technology leadership to ensure operational readiness and maintainable infrastructure as the company grows.

Job details

Intercept is an award-winning B2B marketing agency specializing in creating impactful digital content, creative, and campaigns that engage IT and business decision-makers. We work with some of the world's leading technology and semiconductor companies, including Microsoft, SAP, Lenovo, Intel, AMD, Cisco and more, helping them connect with their target audiences in meaningful ways. As a Certified Great Place to Work, we foster a collaborative and innovative environment where employees excel. With a fully remote workplace, we provide our team the flexibility they need to thrive both at home and at work. ROLE OVERVIEW: We're looking for a Senior Software Engineer to join our Technology team and help keep our internal platforms, tooling, and frameworks healthy, maintainable, and ready as the company grows. You'll have a lot of autonomy. You'll strengthen engineering continuity across the systems we rely on day to day, bring solid experience with the Azure cloud stack, and help us build and operate serious AI capability in-house. That means our own frontier models, our own inference capacity, and state-of-the-art AI agentic tools and workflows that make frontier AI usable across the company. You'll help orchestrate that stack and set practical patterns for how teams use frontier models and agents at work, in support of programs with the world's leading technology and semiconductor companies. You'll work closely with Technology leadership and cross-functional partners, and help us choose thoughtfully when to build, buy, or use a provider. 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

What you’ll do

Requirements

Candidates must have 5+ years of professional software engineering experience with a strong background in the Azure cloud stack. Proven experience in building or operating AI-enabled software and agentic tools is required.