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Myto

Digitizes frontline knowledge into actionable SOPs

Applied AI Engineer

AI Application Engineering +1Updated on Nov 14
Full-timePalo Alto, CA, USAIn-person

About the Job

Requirements

  • Strong backend fundamentals and ownership, including building and operating shipped systems.
  • Experience shipping applied AI or machine-learning systems to real users is a plus.
  • Fluency in TypeScript, data systems, and cloud infrastructure.
  • Frontend experience with modern JavaScript frameworks is a plus.

Responsibilities

  • Design and ship system-level components that are fast, reliable, and observable.
  • Build and own clean, composable, production-grade APIs.
  • Design evaluation and feedback loops that continuously improve model behavior.
  • Work directly with customers and product teams to ship work that moves metrics.
  • Own end-to-end reliability, including logging, crash capture, watchdogs, and diagnostics.

Desired Qualifications

  • Experience shipping applied AI or machine-learning systems to real users.
  • Frontend experience with modern JavaScript frameworks.

About the Company

Myto

Digitizes frontline knowledge into actionable SOPs

Myto provides a SaaS platform that captures frontline factory knowledge to reduce production downtime. It ingests data like SOPs, maintenance logs, tickets, and machine history, and uses wearable AI glasses to record operators’ troubleshooting and shift handoffs, turning tacit know-how into structured SOPs, workflows, and training content. The system builds AI agents that autonomously assist with troubleshooting, generate documentation, and coordinate handoffs, surfacing likely root causes and past fixes when equipment issues arise. Unlike others, Myto emphasizes converting tribal knowledge into a growing, shareable knowledge base with fast deployment and minimal IT requirements, linking machine history with operator expertise to improve diagnostic speed and prevent repeat failures. The goal is to shorten downtime, boost production efficiency, and preserve critical know-how as experienced workers retire.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Palo Alto, CA
Founded
2026

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