SERIOUS is rebuilding critical industry by unlocking trapped industrial data and transforming it into a central nervous system that powers mission-critical workflows — from maintenance to operations to safety. This is 0 → 1 work: building the industrial OS of the future that connects every data point, decision, and process into one intelligent platform.

What you've done

• Built full-stack systems in production — real applications combining frontend interfaces, backend services, and data pipelines that users rely on daily

• Integrated AI models into applications — computer vision, forecasting, anomaly detection, or document extraction systems that drive product functionality

• Worked with real-world operational data sources: sensor telemetry, time series, video, geospatial data, documents, or event streams — not just relational databases

• Designed and implemented APIs and services that connect product interfaces with complex backend systems and distributed data platforms

• Been an early engineer or first technical hire somewhere and built a system from scratch that shipped to production and continued evolving as the system scaled

What you'll own

• User-facing systems that allow operators, engineers, and analysts to interact with the industrial AI platform — dashboards, workflow builders, monitoring tools, and decision interfaces

• Backend APIs and service layers that connect product systems to the underlying platform — event streams, data pipelines, AI services, and ontology systems

• Integration of AI models into operational workflows — connecting computer vision, forecasting, and anomaly detection models to real-world decision systems

• Full-stack development across the platform — building reliable services, product interfaces, and internal tools that allow new workflows and capabilities to be deployed quickly

• Product-level reliability and usability — ensuring systems that combine real-time data, AI outputs, and operational workflows remain fast, understandable, and dependable

Who you are

• Strong across frontend and backend development — comfortable working across product interfaces, APIs, data services, and system integrations

• Experienced with modern full-stack technologies such as React, TypeScript, Python, and event-driven architectures

• Comfortable working with complex data types including time series, streaming telemetry, video feeds, documents, and geospatial information

• Understand how AI systems operate in production — integrating models into applications, building inference pipelines, and connecting outputs to real workflows

• Want to build something meaningful from the ground up and take ownership of systems that power real-world operations for years to come