Job Opportunities API

7shifts is a scheduling and payroll platform designed to help restaurant teams thrive. With an easy-to-use app and industry-specific solutions, 7shifts saves time, reduces errors, and helps keep costs in check for over 55,000 restaurants. Our mission is to simplify team management and improve performance for restaurants, with a long-term vision of creating a thriving restaurant industry through the power of connected & engaged teams.  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. What you'll do 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 What you bring 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 develop