Backend and ERP Integration Engineer

Easycomm Innovations; United States; Remote; USD 120,000 - 150,000; Full time

Job summary

Easycomm Innovations is seeking a backend-focused engineer to integrate computer vision outputs with ERP data, validating dispatches against orders. You will develop APIs and services that connect factory camera feeds, edge AI servers, and a central verification platform, enabling real-time processing of data from exit gates and loading docks.

The role includes building robust backend infrastructure to handle high-volume factory data, coordinating edge computing resources, and implementing

Qualifications

• Experience integrating computer vision output with ERP databases to verify dispatches against orders.
• Proficiency in building APIs and services that connect camera feeds and edge AI servers to a central system.
• Design and maintain a verification service processing real-time data from factory exits and docks.

Responsibilities

• Develop backend systems that integrate CV output with ERP databases to verify dispatches.
• Build APIs and services that connect industrial camera feeds and edge AI servers to a central platform.
• Design and maintain the core verification service that processes real-time data from exits and loading docks.
• Implement safety alert logic to flag discrepancies between inventory and ERP records.

Skills

Backend development

API development

Edge computing

ERP integration

Job description

Batch: 2024/2025/2026/2027.

About the role:

• Develop backend systems that integrate computer vision output with ERP databases to verify product dispatches against stored orders
• Build APIs and services that connect industrial camera feeds and edge AI servers to a central verification platform
• Design and maintain the core verification service that processes real-time data from exit gates and loading docks
• Implement safety alert logic that flags discrepancies between physical inventory and ERP records

What you'll work on:

• Integration between production counting systems and enterprise resource planning software
• Backend infrastructure handling high-volume data flows from multiple factory locations
• Edge computing server coordination and data synchronization across unreliable network conditions
• APIs that power both web dashboards and mobile applications for dispatch verification
• Robust error handling for challenging factory environments with poor lighting, fast conveyor speeds, and similar product packaging

About the project:

• This platform serves a large manufacturer of edible oil, soap, and soya meal
• The system must operate in real factory conditions with worn cartons, wrapped pallets, and unreliable networks
• Computer vision processes production counts and verifies each dispatch before goods leave the facility
• The platform combines industrial cameras, edge AI servers, a central verification service, a web dashboard, and a mobile app into one integrated system