AI Delivery Engineer, Developer Experience

7shifts•Toronto, ON

2d•CA$130,000 - CA$180,000•Hybrid

About The Position

As an AI Delivery Engineer on the Developer Experience squad at 7shifts, you work at the intersection of strong engineering judgment and AI-enabled execution. You report to the Engineering Manager for Developer Experience and build the systems every 7shifts engineer depends on: the agentic harnesses, core workflows and developer tooling that power an organization that builds a product used by over 1.5 million restaurant workers every day. The job is to take ambiguous business and developer intent through to shipped, production-ready outcomes, with AI doing a significant portion of the execution while you’re accountable for the judgment, quality, architecture, and tradeoffs that agents can't make. You will help define and build the future of not only our internal Agentic harness, Aether, but future programs built around harnessing AI in ways that improve developer productivity. You surface decisions in a way that cross-functional partners can act on. And you make the engineers around you better: through mentorship, through how you approach problems visibly, and through technical context that doesn't stay siloed.

Requirements

Production ownership: you've shipped and supported software that real customers depend on, made technical decisions under pressure, and lived with the consequences long enough to learn from them
A demonstrated history of MCP server usage and creation, moving beyond simple connectors to building out orchestrated workflows that take advantage of the context a particular server can provide
Demonstrated AI fluency in your actual delivery workflow: you use AI to ship product faster, direct it deliberately, and hold a consistent bar on what makes it through review
The ability to move from ambiguous input to clear, maintainable solution in large codebases where the answer wasn't obvious and the cost of getting it wrong was real
Communication that works across the org: you can articulate a tradeoff decision clearly to a EM, other senior/staff/principal developers, and drive alignment with leadership without needing to be managed through the conversation
Self-awareness about your own gaps and growth edges: at this level, knowing what isn't working and adjusting is part of how you make better decisions, not a bonus trait
A consistent track record of making the people around you better: through mentorship, code reviews, surfacing technical context others can actually act on, and helping less experienced developers think through problems rather than just solving them for them

Nice To Haves

Experience building out an agentic harness or agentic control plane.

Responsibilities

Own work end to end: take a problem from definition through technical design, build, iteration, and long-term support without needing a spec handed to you
Design and ship backend systems, data models and agentic frameworks that scale
Use AI as the primary delivery tool for building product: direct it through generation, apply engineering judgment to validate the output, and hold the bar on what ships
Look for more ways to improve speed, cost efficiency and MCP adoption so that we’re empowering an organization to deliver atop a seamless platform that can do the rote work with ease
Set and reinforce engineering practices through code and spec reviews, testing standards, and technical decisions that other developers can learn from
Translate developer and business intent into technical solutions, surfacing tradeoffs and risks early so the team makes better decisions
Mentor developers on the squad through feedback and technical guidance — not just in reviews, but in how you approach problems day to day