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Metis

Industrial AI platform for predictive maintenance

Forward Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

  • Strong fundamentals in at least one modern programming language, such as Python, Go, or Rust.
  • Experience with backend systems, distributed computing, or high-volume services.
  • Strong communication abilities and a high bar for customer interaction.
  • Ability to turn ambiguous product requests into simple, pragmatic solutions.
  • Familiarity with system design, software engineering best practices, and debugging in production environments.
  • Comfort working across the stack, from APIs and orchestration to user-facing surfaces.

Responsibilities

  • Translate research prototypes into production systems that enterprises and labs can reliably adopt.
  • Collaborate with platform, product, and research teams to ship features under real customer constraints.
  • Write clean, testable code in modern languages while leveraging AI tools to accelerate development.
  • Debug complex systems, identify bottlenecks, and drive performance, security, and reliability improvements.
  • Own projects end-to-end and collaborate with platform, research, and customers to make pragmatic technical decisions tied to customer outcomes.

About the Company

Metis

Industrial AI platform for predictive maintenance

Metis builds an AI platform for the industrial workforce that unifies data from across an organization’s operations to generate actionable, predictive insights. It connects inputs such as equipment manuals, maintenance logs, control systems, and sensor networks into a single AI engine, enabling both field use in harsh environments and centralized analysis at operations centers. The platform aims to prevent interruptions in critical infrastructure by learning from user interactions and improving its recommendations for emergency response and preventive maintenance. Metis differentiates itself by targeting multiple heavy-industry sectors (manufacturing, energy, data centers, mining, transportation) and focusing on turning a diverse data ecosystem into a single predictive intelligence layer. Its goal is to help industrial clients move from historical data to proactive, data-driven decision making that keeps essential infrastructure running smoothly.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
Corrientes, Argentina
Founded
2025

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