🛠 Tech Stack

💼 About This Role

You'll architect the inference pipeline that powers an AI layer over Life360's family graph and location data. You'll own model selection, serving infrastructure, and eval loops—making sure the system is fast, safe, and cost-effective at scale.

🎯 What You'll Do

• Architect and own the end-to-end inference pipeline.
• Build serving infrastructure with latency and cost budgets.
• Design evaluation loops to measure system improvements.
• Define data persistence and context strategy for LLMs.

📋 Requirements

• 5+ years building AI systems in production at scale.
• Deep experience with modern LLM serving and inference.
• Proficiency in cloud services and distributed systems.
• Self-starter mindset able to operate without a spec.

✨ Nice to Have

• Experience with fine-tuning or prompt engineering.
• Background in location-based or family-focused products.
• Familiarity with privacy and safety infrastructure.

🎁 Benefits & Perks

• 💰 Competitive salary with equity
• 🏥 Medical, dental, vision insurance
• 🏠 Remote-first work environment
• 📈 Equity in the company

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3System Design· 60 min