Senior AI Platform Engineer — Remote-First

Life360; United States; Remote; USD 149,000 - 272,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid parental leave

Remote equipment reimbursement

Life360 Platinum membership

Tile trackers

Mental wellness program

Job summary

Life360’s AI Platforms team is seeking an AI Platform Engineer to build the foundations for safe, scalable AI across the company. You will own end-to-end production components, set technical direction, and partner with AI Dev Tooling and PDLC teams to extend capabilities and power member-facing features.

The role emphasizes building memory, retrieval, and knowledge infrastructure, strong backend systems, SLOs, and observability, with a remote-first, USA-wide compensation and RSU equity.

Qualifications

• 8+ years of engineering experience with 3+ years building platforms or infrastructure
• Experience building production AI systems including LLM integrations and evaluation
• Strong backend and cloud fundamentals with APIs and IaC

Responsibilities

• Define vision and pave paths for AI-native engineering across Life360
• Build agent runtime and orchestration platform with security controls
• Operate MCP gateway and connectors for secure data access
• Support LLM gateway with authentication and cost attribution
• Build eval/regression infrastructure and CI hooks
• Set up observability with tracing and drift detection
• Collaborate with Security, Privacy, Legal on data handling
• Define production AI access, latency, and reliability standards

Skills

Platform engineering

Production AI systems

MCP & agent orchestration

Backend & cloud fundamentals

Observability & reliability

Communication

Job description

Life360’s AI Platforms team is seeking an AI Platform Engineer to build the foundations for safe, scalable AI across the company. You will own end-to-end production components, set technical direction, and partner with AI Dev Tooling and PDLC teams to extend capabilities and power member-facing features.

The role emphasizes building memory, retrieval, and knowledge infrastructure, strong backend systems, SLOs, and observability, with a remote-first, USA-wide compensation and RSU equity.