Staff AI Platform Engineer

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

📋 Description

• Define the strategic vision and create pathways that empower teams at Life360 to implement AI-native engineering best practices.

• Develop the agent runtime and orchestration platform, encompassing identity, authorization, and auditing for both scheduled and unattended agents.

• Manage the MCP gateway and connector framework to ensure secure, controlled, and auditable access to internal data, APIs, repositories, and SaaS applications.

• Support the LLM gateway, focusing on model access and routing, authentication, rate limits, token budgets, and cost attribution per team.

• Construct evaluation and regression infrastructure utilizing golden datasets, offline assessments, CI hooks, and result storage.

• Establish observability for prompt and response tracing, cost per request, quality signals, and drift detection.

• Collaborate with Security, Privacy, and Legal teams on data management, tenant isolation, and audit capabilities.

• Define operational standards for AI inference access at member scale, addressing serving, latency, reliability, and provider oversight.

• Oversee production components, including SLOs, dashboards, deployment pipelines, and incident management.

• Facilitate shared memory, retrieval, and knowledge frameworks for agents.

• Develop SDKs, templates, reusable skills, documentation, and foster internal champions.

• Collaborate with AI DevX and Agentic PDLC to convert requirements into shared primitives.

• Mentor engineers on agent architecture and evaluation rigor; produce design documents and standards.

• Investigate advanced capabilities for long-term memory, retrieval, and shared knowledge platforms.

⛳️ Requirements

• Over 8 years of engineering experience, with at least 3 years focused on building platforms or infrastructure utilized by other engineers.

• Proven experience in developing and managing production AI systems, such as agentic workflows, LLM integrations, retrieval mechanisms, and evaluations.

• Proficient understanding of MCP and agent orchestration, including the connections of agents to internal systems with the necessary controls.

• Strong foundations in backend and cloud technologies: distributed systems, APIs, infrastructure as code, and practices for reliability and observability.

• Experience in executing AI inference in production environments, including managing latency, reliability, provider relationships, and cost considerations.

• Demonstrated judgment in determining what merits a shared platform investment and what does not.

• Effective written communication skills: design documents and standards that are clear enough for other engineers (and their agents) to follow.

• Daily use of AI coding assistants for comprehensive analysis, coding, refactoring, testing, navigating codebases, and documentation.

• Responsibility for reviewing and owning AI-generated code.

• Bonus: experience with non-human identity, service-account, or agent authorization models.

• Bonus: experience in building or managing an agent orchestration or deployment platform, or an MCP-style connector gateway.

• Bonus: knowledge of SOC 2, GDPR, or similar compliance frameworks.

• Bonus: background in ML infrastructure or model observability.

• Bonus: experience with consumer-scale products or handling privacy-sensitive data.

🏝️ Benefits

• Comprehensive medical, dental, vision, life, and disability insurance plans fully covered for employees.

• Paid parental leave.

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

• Mental Wellness Program & Employee Assistance Program (EAP) to support mental health.

• Generous time off policy: flexible PTO, companywide holidays throughout the year, plus summer and winter shutdowns.

• Opportunities for Learning & Development.

• Provision of equipment, tools, and reimbursement to foster a productive remote workspace.

• Complimentary Life360 Platinum Membership and Tile trackers.

• Equity compensation through Restricted Stock Units (RSUs).

• A wide range of financial and additional benefits.