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Mozilla

Senior Staff AI, Agentic Systems Engineer

Mozilla

Senior Staff Engineer at Mozilla leading architectural design for next-gen AI agent frameworks and workflows. Focused on building and scaling autonomous capabilities in a remote role within a fast-paced team.

Posted 7/9/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$165,000 - CA$220,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates extensive experience in designing and deploying production-grade multi-agent frameworks and custom AI developer tooling, with a strong focus on code quality, system performance, and mentoring within engineering teams. Proficient in navigating the balance between rapid prototyping and sustainable architecture while leveraging advanced AI coding tools for efficient delivery.

Highest-signal resume keywords
7+ Years Software Engineering ExperienceBuilding Autonomous WorkflowsDeep Familiarity with LLMsAdvanced AI Coding Tools ProficiencyClean High-Performance Code in Python or Go

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software EngineeringAPI DesignBenchmarking FrameworksPrompt EngineeringDistributed Backend SystemsComplex Systems DevelopmentOrchestration FrameworksTechnical Debt ManagementMVP DevelopmentAgentic Systems
Soft Skills
MentoringAdaptabilityExecution FocusProblem-Solving
Tools & Technologies
LangChainLangGraphCrewAIAutoGenCursorCopilot
Industry Keywords
AI Developer ToolingMulti-Agent FrameworksProduction-Grade SystemsStartup ExperienceAgile Development

Tech Stack

Tools & technologies
GoPython

About the role

Key responsibilities & impact
  • Design and deploy production-grade multi-agent frameworks, complex orchestration layers, and custom AI developer tooling.
  • Navigate the tension between rapid prototyping and long-term sustainability, knowing exactly when to cut corners to validate a concept and when to slow down to lay rock-solid architectural foundations.
  • Navigate and integrate various commercial and open-source large language models, selecting and optimizing the right models for specific agentic behaviors.
  • Lead by example by extensively leveraging advanced AI coding tools to maximize velocity, while establishing best practices for AI-assisted engineering across the team.
  • Implement rigorous frameworks for benchmarking, prompt engineering, and evaluating agent reliability, latency, and accuracy.
  • Set engineering standards for code quality and system performance, mentoring other engineers and acting as a primary bridge between research and product.

Requirements

What you’ll need
  • 7+ years of professional software engineering experience, particularly in fast-paced environments where you've shipped complex systems from scratch.
  • A proven ability to judge technical debt. You know how to ship an MVP in days, but you also know how to design a clean API boundary so that early speed doesn't block future scale.
  • 2+ years of direct, hands-on production experience specifically building autonomous workflows, custom tools, and agentic systems.
  • Deep familiarity with diverse LLMs and orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, or similar tools).
  • Prior early-stage startup experience, meaning you are comfortable with ambiguity, pivot quickly based on data, and focus heavily on execution.
  • Deep, everyday proficiency building software with advanced AI coding tools (such as Cursor, Copilot, or custom LLM extensions) to radically speed up delivery.
  • Comfort writing clean, high-performance code in languages like Python or Go, with a solid grasp of distributed backend systems.

Benefits

Comp & perks
  • Generous performance-based bonus plans to all eligible employees – we share in our success as one team
  • Rich medical, dental, and vision coverage
  • Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
  • Quarterly all-company wellness days where everyone takes a pause together
  • Country-specific holidays plus a day off for your birthday
  • One-time home-office stipend
  • Annual professional development budget
  • Quarterly well-being stipend
  • Considerable paid parental leave
  • Employee referral bonus program
  • Other benefits (life/AD&D, disability, EAP, etc. – varies by country)