4 days ago

AI Delivery Engineer, Developer Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Own delivery from ambiguous intent to production-ready outcomes for an AI-enabled Developer Experience squad. Design and ship scalable backend systems, data models, and agentic frameworks, using AI as a primary delivery tool while applying engineering judgment to validate and ship at a high bar. Improve speed and cost efficiency, support MCP adoption, reinforce engineering practices, and mentor engineers through visible execution and technical context that stays cross-functional.

Location: Toronto, Saskatoon

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own work end to end, from definition and technical design through build, iteration, and long-term support without requiring specs.
•Design and ship scalable backend systems, data models, and agentic frameworks.
•Use AI as the primary delivery tool, directing generation and validating outputs with engineering judgment to hold the bar on what ships.
•Improve speed, cost efficiency, and MCP adoption to enable delivery on a seamless platform.
•Set engineering practices through code/spec reviews, testing standards, and technical decisions; mentor developers on the squad.

Pay and Benefits

Salary: CAD 130,000 - 180,000

Equity and Bonus:Equity

Perks:Health InsuranceDentalParental LeaveHome Office

Key Requirements

•Have shipped and supported software that real customers depend on, making technical decisions under pressure and learning from production outcomes.
•Demonstrate history with MCP server usage and creation, including building orchestrated workflows beyond simple connectors.
•Show AI fluency in your delivery workflow—use AI deliberately to ship faster while maintaining a consistent review bar.
•Move from ambiguous input to clear, maintainable solutions in large codebases where errors are costly.
•Communicate tradeoffs effectively across the org and consistently improve teammates through mentorship and actionable technical context.

Skills:Engineering judgmentCommunicationMentorshipProblem-solvingTechnical decision-making

Languages:English

Tech Stack:AIMCPAgentic harnessAgentic frameworksBackend systemsData models

Company Brief

7shifts

Provides scheduling, labor, payroll, and team communication software for restaurants. The platform helps operators manage shift planning, compliance, tips, and day-to-day workforce operations across single locations and multi-unit restaurant groups.

Industry: HR Tech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Saskatoon, Canada

Founded: 2014

Website LinkedIn

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7shifts

4 days ago

AI Delivery Engineer, Developer Experience

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Toronto, Saskatoon

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Own work end to end, from definition and technical design through build, iteration, and long-term support without requiring specs.
•Design and ship scalable backend systems, data models, and agentic frameworks.
•Use AI as the primary delivery tool, directing generation and validating outputs with engineering judgment to hold the bar on what ships.
•Improve speed, cost efficiency, and MCP adoption to enable delivery on a seamless platform.
•Set engineering practices through code/spec reviews, testing standards, and technical decisions; mentor developers on the squad.

Pay and Benefits

Salary: CAD 130,000 - 180,000

Equity and Bonus:Equity

Perks:Health InsuranceDentalParental LeaveHome Office

Key Requirements

•Have shipped and supported software that real customers depend on, making technical decisions under pressure and learning from production outcomes.
•Demonstrate history with MCP server usage and creation, including building orchestrated workflows beyond simple connectors.
•Show AI fluency in your delivery workflow—use AI deliberately to ship faster while maintaining a consistent review bar.
•Move from ambiguous input to clear, maintainable solutions in large codebases where errors are costly.
•Communicate tradeoffs effectively across the org and consistently improve teammates through mentorship and actionable technical context.

Skills:Engineering judgmentCommunicationMentorshipProblem-solvingTechnical decision-making

Languages:English

Tech Stack:AIMCPAgentic harnessAgentic frameworksBackend systemsData models

Company Brief

7shifts

Industry: HR Tech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Saskatoon, Canada

Founded: 2014

Website LinkedIn