Staff AI Platform Engineer
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Job Description
Staff AI Platform Engineer building agent platforms, LLM gateways, and AI observability for Life360’s family safety ecosystem. Owning production infrastructure that supports engineers and member-facing features.
Responsibilities:
- Establish the overarching vision and paved paths for AI-native engineering practices across Life360
- Build the agent runtime and orchestration platform, including identity, authorization, and audit for scheduled and unattended agents
- Operate the MCP gateway and connector infrastructure for secure, managed, and auditable access to internal data, APIs, repositories, and SaaS tools
- Support the LLM gateway with model access and routing, authentication, rate limits, token budgets, and per-team cost attribution
- Build evaluation and regression infrastructure, including golden datasets, offline evaluations, CI hooks, and result storage
- Set up observability for prompt and response tracing, cost per request, quality signals, and drift detection
- Partner with Security, Privacy, and Legal on data handling, tenant isolation, and auditability
- Define production AI inference access and operations at member scale, including serving, latency, reliability, and provider management
- Own production operations, including SLOs, dashboards, deployment pipelines, and incident response
- Enable shared memory, retrieval, and knowledge infrastructure for agents
- Create SDKs, templates, reusable skills, documentation, and internal enablement for AI adoption
- Partner with AI DevX and Agentic PDLC to develop shared primitives
- Mentor engineers on agent architecture and evaluation rigor; write design documents and standards
- Explore longer-term foundational memory, retrieval, and shared knowledge capabilities
- Report to the Director of AI Platforms
Requirements:
- 8+ years of engineering experience, including 3+ years building platforms or infrastructure used by other engineers
- Experience building and operating production AI systems, such as agentic workflows, LLM integrations, retrieval, and evaluation
- Working knowledge of MCP and agent orchestration, including how agents connect to internal systems with appropriate controls
- Strong backend and cloud fundamentals: distributed systems, APIs, infrastructure as code, and reliability and observability practices
- Experience running AI inference in production, including latency, reliability, provider management, and cost tradeoffs
- Sound judgment on what deserves a shared platform investment and what doesn't
- Clear written communication: design docs and standards precise enough for other engineers and their agents to build against
- Daily use of AI coding assistants for analysis, coding, refactoring, testing, codebase navigation, and documentation
- Accountability for reviewing and owning AI-generated code
- Bonus: experience with non-human identity, service-account, or agent authorization models
- Bonus: experience building or operating an agent orchestration or deployment platform, or an MCP-style connector gateway
- Bonus: familiarity with SOC 2, GDPR, or similar compliance frameworks
- Bonus: background in ML infrastructure or model observability
- Bonus: experience with consumer-scale products or privacy-sensitive data
Benefits:
- Medical, dental, vision, life and disability insurance plans (100% paid for employees)
- Paid parental leave
- 401(k) plan with company matching program
- Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being
- Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter shutdowns
- Learning & Development programs
- Equipment, tools, and reimbursement support for a productive remote environment
- Free Life360 Platinum Membership and Tile trackers
- Restricted Stock Units (RSUs) as part of total compensation
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