The US-based salary range for this position is $149,000 to $271,500 USD. We take into consideration an individual's background, job-related knowledge, skills, and experience in determining final salary. Base pay may also vary based on geographic location, with US work locations falling into one of three geographic tiers.

Total compensation is inclusive of equity compensation in the form of Restricted Stock Units (RSUs), as well as a comprehensive benefits package, including medical, dental, vision, financial, and other benefits.

Establish the overarching vision and paved paths that enable teams across Life360 to adopt AI-native engineering best practices

Build the agent runtime and orchestration platform, including identity, authorization, and audit for scheduled and unattended agents

Operate the MCP gateway and connector infrastructure: secure brokering so agents reach internal data, APIs, repos, and SaaS tools through managed, auditable connections rather than unmanaged direct access

Support the LLM gateway: model access and routing, authentication, rate limits, token budgets, and per-team cost attribution

Build eval and regression infrastructure: golden datasets, offline evals, CI hooks, and result storage, with quality regression treated as a first-class alert

Setup observability: prompt and response tracing, cost per request, quality signals, and drift detection

Work with Security, Privacy, and Legal to build data handling, tenant isolation, and auditability into the platform from day one

Define how product teams access, run, and monitor AI inference in production at member scale: serving, latency, reliability, and provider management

Own what you build in production: SLOs, dashboards, deployment pipelines, and incident response

Enable memory, retrieval, and knowledge infrastructure that agents can share

Staff AI Platform Engineer

Responsibilities

Qualification

Required

Benefits

Company

life360

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