AI Engineer

Job Summary

To support the development of family-oriented technology, the full-time AI Engineer will optimize and run a self-hosted inference stack on GPU hardware, build AI features, and ensure the efficiency of AI workloads in a fully remote environment.

Key responsibilities

• Run and optimize the self-hosted inference stack, tuning the serving layer for high throughput and low latency
• Build and ship user-facing AI features and proactive agents that assist families in coordinating tasks
• Instrument performance and usage metrics across AI surfaces to enhance visibility and decision-making

Required qualifications

• 5+ years of experience in shipping production software, particularly with applied AI or ML work
• Demonstrated expertise in running and optimizing self-hosted LLMs on multi-GPU hardware
• Strong proficiency in Python and full-stack development capabilities
• Hands-on experience with agent frameworks and LLM APIs
• Familiarity with AWS, Docker, CI/CD, and monitoring tools