Staff AI Platform Engineer

Job not on LinkedIn

🔥 12 minutes ago

🇺🇸 United States – Remote

💵 $149k - $271.5k / year

⏰ Full Time

🔴 Lead

🏗️ Platform Engineer

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Life360

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

👥 B2C

📡 Telecommunications

💰 Post-IPO Equity on 2022-11

B2C • Safety • Telecommunications

Life360 is a leading family safety app that offers a comprehensive suite of services for location and digital safety. With Life360, users can effortlessly share their location, track their phones, and manage driving safety measures, including crash detection and 24/7 roadside assistance. The app includes features for digital safety, such as identity theft protection and SOS alerts, ensuring protection and prevention for each family member. Life360's plans, which include free, Gold, and Platinum options, are designed to accommodate various needs, offering peace of mind with advanced safety and coordination tools. The app is trusted by millions of users and is highly rated on app stores for its efficiency and reliability in connecting family members and ensuring their safety.

📋 Description

• 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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