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Staff AI Architect, Family AI Lab

1 month ago
United States, Canada
Full-time
Lead
AI Engineer
DevOps and Infrastructure
Encryption LLM
Apply Now
Life360

Life360

Life360 is the top family location safety app, offering advanced safety features to connect and protect millions of families worldwide.

Family Services
251-1K
Founded 2008
$140M raised
View All Jobs 26

Description

  • Architect the end-to-end inference pipeline for Life360’s AI layer, including how family context, behavioral signals, and document understanding are prepared for LLMs.
  • Choose and revisit model and hosting approaches across self-hosted, API-based, fine-tuned, and prompt-engineered solutions.
  • Build and operate serving infrastructure with latency budgets, batching, caching, fallbacks, and graceful degradation.
  • Design and maintain evaluation loops and harnesses to measure whether product changes improve outcomes in production.
  • Own cost modeling and optimize inference spend through context compression, model routing, and pre-computation.
  • Decide what data is persisted, summarized, or discarded for LLM consumption.
  • Set infrastructure-level standards for safety, privacy, trust, encryption, access controls, and audit trails.
  • Collaborate in a startup-style environment with minimal specifications and high ownership over the initiative.
  • Write clear specs, decision records, and playbooks that humans and agents can execute precisely.

Requirements

  • Deep engineering experience building and operating AI systems in production at meaningful scale.
  • Significant experience with real users, real load, and on-call responsibility.
  • Fluency with modern LLM serving tools such as vLLM, TGI, SGLang, or hosted APIs.
  • Experience building evaluation harnesses and using evals to drive real progress.
  • Ability to build cloud systems from the ground up, including service selection, integration, reliability, and cost control.
  • Strong focus on inference cost and instincts for identifying and fixing cost leaks.
  • Hands-on experience with AI-native workflows such as Claude Code, Cursor, prompt engineering, context window management, and MCP/function calling.
  • Comfort making decisions with incomplete information in a fast-moving startup environment.
  • Strong written communication skills for specs, decision records, and playbooks.
  • Preferred experience with agent systems, retrieval pipelines, or long-context personalization.
  • Preferred experience with privacy architecture in multi-user systems where context is shared across users with different access rights.
  • Preferred experience building data-moat products where the underlying data is the competitive advantage.

Benefits

  • Competitive pay and benefits.
  • Medical, dental, vision, life, and disability insurance, with 100% employer-paid coverage for US employees.
  • 401(k) with company matching in the US and RRSP with DPSP for Canadian employees.
  • Employee Assistance Program (EAP) for mental wellness.
  • Flexible PTO plus 12 company-wide days off each year.
  • Learning and Development programs.
  • Equipment, tools, and reimbursement support for a productive remote environment.
  • Free Life360 Platinum Membership for your preferred circle.

Interested in this position?

Apply directly on the company website

Apply Now

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