Backend Engineer – Real-Time AI for Mining Operations

Realm Alliance

United States

On-site

USD 120,000 - 180,000

Full time

6 days ago
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Benefits offered by this job

Full medical, dental, vision
Unlimited PTO
401(k) with match
Equity
Home office allowance

Job summary

Realm Alliance is seeking a software engineer to build and extend a TypeScript backend delivering real-time mining operations data for web and mobile clients. You will work across backend, AI/ML, frontend, and infrastructure to ship features end-to-end.

You will develop computer vision pipelines using AWS Rekognition, TensorFlow, and SAM3 for PPE detection and safety monitoring, and integrate with SCADA/OPC-UA systems to optimize equipment in real time.

Responsibilities

  • Build and extend our TypeScript backend serving real-time mining operations data across web and mobile clients
  • Work across the stack: backend services (50%), applied AI/ML (25%), React frontend (15%), and infrastructure (10%)
  • Build computer vision pipelines - integrating services like AWS Rekognition, TensorFlow, and SAM3 for PPE detection, person recognition, and safety monitoring
  • Integrate with industrial systems (SCADA/OPC-UA) to monitor and optimize mine equipment in real time
  • Ship features end-to-end
  • Deploy to production multiple times per day with CI/CD
  • Work with LLMs for intelligent analysis and automation features
  • Own features in a small team where your code runs at active mines
  • Interact directly with users to deeply understand customer needs. Translate real-world operational challenges into intuitive, high-impact features
  • Work closely with our CEO - former CTO and cofounder of Blend Labs - to build a world-class engineering organization from the ground up.

Job description

Realm Alliance is seeking a software engineer to build and extend a TypeScript backend delivering real-time mining operations data for web and mobile clients. You will work across backend, AI/ML, frontend, and infrastructure to ship features end-to-end.

You will develop computer vision pipelines using AWS Rekognition, TensorFlow, and SAM3 for PPE detection and safety monitoring, and integrate with SCADA/OPC-UA systems to optimize equipment in real time.

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