1 day ago
Base Salary
$149k - $272k/yr
Responsibilities
- Establish the vision and paved paths for AI-native engineering practices across Life360.
- Build the agent runtime and orchestration platform, including identity, authorization, and audit capabilities.
- Operate MCP gateway and connector infrastructure for secure, managed, and auditable access to internal systems and tools.
- Support model access and routing through the LLM gateway, including authentication, rate limits, token budgets, and cost attribution.
- Build evaluation and regression infrastructure with golden datasets, offline evaluations, CI hooks, and result storage.
- Implement observability for prompt and response tracing, request costs, quality signals, and drift detection.
- Build data handling, tenant isolation, and auditability in partnership with Security, Privacy, and Legal.
- Define production AI inference practices covering 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 materials.
- Partner with AI DevX and Agentic PDLC teams to develop shared platform primitives.
- Mentor engineers and write design documents and standards for agent architecture and evaluation rigor.
- Explore foundational memory, retrieval, and shared knowledge capabilities for future platform needs.
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 controlled connections between agents and internal systems.
- Strong backend and cloud fundamentals, including distributed systems, APIs, infrastructure as code, reliability, and observability practices.
- Experience running AI inference in production, including latency, reliability, provider management, and cost tradeoffs.
- Ability to determine which capabilities warrant shared platform investment.
- Clear written communication for design documents and technical standards.
- Preferred experience with non-human identity, service accounts, or agent authorization models.
- Preferred experience building agent orchestration or deployment platforms or MCP-style connector gateways.
- Familiarity with SOC 2, GDPR, or similar compliance frameworks is preferred.
- Background in ML infrastructure or model observability is preferred.
- Experience with consumer-scale products or privacy-sensitive data is preferred.
- Comfort using AI coding assistants for analysis, coding, refactoring, testing, codebase navigation, and documentation.
- Ability to review and take ownership of AI-generated code, share effective practices, and help teammates adopt AI workflows.
Benefits
- Medical, dental, vision, life, and disability insurance plans fully paid for employees.
- Paid parental leave.
- 401(k) plan with company matching.
- Mental Wellness Program and Employee Assistance Program.
- Flexible paid time off, company holidays, and summer and winter shutdowns.
- Learning and Development programs.
- Equipment, tools, and reimbursement support for a productive remote environment.
- Free Life360 Platinum Membership and Tile trackers.
- Remote-first work environment with positions generally available remotely within the US.
Categories
About Life360
Life360 builds a family safety platform that combines a mobile app with Tile Bluetooth trackers and a pet GPS tracker for location sharing, driving insights, crash detection, and emergency dispatch. It monetizes through subscription memberships, hardware device sales, and advertising. The company is headquartered in San Mateo, California, is dual-listed on NASDAQ and the ASX, owns Tile, and serves over 100 million monthly active users across more than 180 countries.