Senior Staff AI, Agentic Systems Engineer

Mozilla

Senior Staff AI Engineer leading architectural design of AI frameworks at Mozilla. Building a new product in fast-paced environment as part of New Products organization.

Posted 7/9/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $195,000 - $260,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying multi-agent systems and workflows, leveraging advanced AI coding tools and frameworks to enhance performance and reliability. Proven ability to mentor teams while maintaining high standards of code quality and system performance in fast-paced environments.

Highest-signal resume keywords

Multi-Agent Framework DesignLLM Workflow OrchestrationAdvanced AI Tooling ProficiencyProduction Experience with Autonomous WorkflowsTechnical Leadership and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringPython ProgrammingGo ProgrammingDistributed Backend SystemsPrompt EngineeringBenchmarking FrameworksTechnical Debt AssessmentCode Quality StandardsSystem Performance EvaluationComplex System Development

Soft Skills

CollaborationAdaptabilityExecution FocusMentoring

Tools & Technologies

LangChainLangGraphCrewAIAutoGenCursorCopilot

Industry Keywords

Agentic SystemsAutonomous WorkflowsAI Developer ToolingRapid PrototypingEarly-Stage Startup Experience

Tech Stack

Tools & technologies

GoPython

About the role

Key responsibilities & impact

Architect Agentic Systems from Zero: Design and deploy production-grade multi-agent frameworks, complex orchestration layers, and custom AI developer tooling.
Balance Speed and Scale: Navigate the tension between rapid prototyping and long-term sustainability.
Orchestrate LLM Workflows: Navigate and integrate various commercial and open-source large language models.
Accelerate with AI Tooling: Lead by example by extensively leveraging advanced AI coding tools.
Drive Evaluation and Performance: Implement rigorous frameworks for benchmarking, prompt engineering, and evaluating agent reliability, latency, and accuracy.
Collaborative Technical Leadership: Set engineering standards for code quality and system performance, mentoring other engineers.

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.
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)