Principal Agentic Engineer, AI Ecosystem

This is a fully remote position, open to applicants in United States.

📋 Description

• Maintain a comprehensive perspective across AI Platforms, AI DevX, and Agentic PDLC to ensure investments align rather than conflict.

• Lead the assessment of build-vs-buy decisions for critical PDLC agents and capabilities across the ecosystem.

• Develop execution frameworks, context and retrieval systems, and telemetry for the agent ecosystem.

• Define Life360's reusable agent unit, including its interfaces, safety standards, evaluation criteria, and promotion processes.

• Design the authorization model for non-human identities and agents for scheduled and unattended operations.

• Create shared evaluation and regression infrastructure that encompasses frameworks, CI hooks, and result storage solutions.

• Deliver production code for high-leverage components while prototyping and mitigating risks for foundational elements.

• Assess architecture under actual usage and economic conditions through live agent initiatives like on-call investigations.

• Provide mentorship to Agentic Engineers and Staff Engineers across three teams.

• Document architecture decision records, standards, and playbooks to facilitate independent team execution.

• Present a cohesive technical viewpoint in build-vs-buy and roadmap discussions, even without formal authority.

⛳️ Requirements

• Over 12 years of engineering experience, particularly in platform or systems architecture at a consumer scale (preferably 50M+ MAU or equivalent).

• Proven experience in architecting agentic systems for production environments.

• Hands-on experience with non-human identity, service-account, or agent authorization models, or a well-articulated perspective on developing one.

• Knowledge of designing and implementing structured interfaces for AI systems (such as MCP-style tool definitions, JSON Schema, OpenAPI).

• Experience in developing for tool-calling and contract-first agent development.

• A history of creating evaluation and regression frameworks for AI systems, which includes promotion gates, scoring, and CI integration.

• Strong architectural instincts across various services and teams.

• Proficiency in AI economics, understanding token costs as a design constraint, progressive retrieval, and model-usage tradeoffs.

• Demonstrated ability to influence technical direction across teams without direct managerial authority.

• Exceptional written communication skills for creating architecture decision records, standards, and playbooks.

• Bonus: Experience with agent orchestration/deployment platforms or MCP-style connector gateways.

• Bonus: Background in ML infrastructure, model observability, or production AI systems.

• Bonus: Experience in mobile engineering or high-throughput cloud systems.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans (100% covered for employees).

• Paid parental leave.

• 401(k) plan with a company matching program.

• Mental Wellness Program & Employee Assistance Program (EAP) focused on mental well-being.

• Generous time off policies: flexible PTO, company-wide holidays throughout the year, plus summer and winter shutdowns.

• Opportunities for Learning & Development.

• Provision of equipment, tools, and reimbursement support for an efficient remote working environment.

• Complimentary Life360 Platinum Membership and Tile trackers.

• Equity compensation in the form of Restricted Stock Units (RSUs).