Staff AI Platform Engineer

About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 107.7 million monthly active users (MAU), as of September 30, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com . Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance. Your Recruiter will provide clear guidance as you move through the interview process. Undisclosed use of AI not previously discussed with or approved by your Recruiter may impact your candidacy. About The Team The AI Platforms team builds the shared foundation that lets Life360 use AI quickly and safely: model access and routing, MCP gateway and connectors, the agent runtime and orchestration platform, memory and knowledge infrastructure, evals and observability, and cost controls. We work alongside AI Dev Tooling and Agentic PDLC, the teams reshaping how Life360 builds with agents, and we're extending the same foundations to power AI features for our members. About the Job The AI Platforms team at Life360 builds the shared foundation that enables the rapid and safe use of AI across the organization. This includes model access and routing, the MCP gateway and connectors, the agent runtime and orchestration platform, memory and knowledge infrastructure, evaluations and observability, as well as cost controls. As an AI Platform Engineer, you will play a crucial role in developing the infrastructure that supports every engineer and agent at Life360, extending it from internal productivity to member-facing product features. In this role, you will own production components end to end, setting the technical direction for your area and transforming early momentum into established pathways that other teams will adopt. You are a builder at heart, responsible for shipping code, reviewing designs, and making pragmatic build-vs-buy decisions as the model and tooling landscape evolves. You will collaborate closely with the AI Dev Tooling and Agentic PDLC teams, which are reshaping how Life360 builds with agents, while also extending the same foundational capabilities to power AI features for our members. You will report to the Director of AI Platforms. 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. What You’ll Do • 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 • Make the right way the easy way: SDKs, templates, reusable skills, docs, and internal champions that engineers and their agents choose to use • Partner with AI DevX and Agentic PDLC to turn their needs into shared primitives instead of one-off builds • Mentor engineers on agent architecture and evaluation rigor, and write design docs and standards other teams can build against • Explore foundational memory, retrieval, and shared knowledge capabilities for agents as longer-term platform needs evolve What We’re Looking For • 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 in