Remote AI Software Engineer Intern

Realm; United States; Remote; USD 28,000 - 48,000; Full time

Benefits offered by this job

Competitive pay

Mentorship from senior engineers

Real-world impact on production mines

Remote internship flexibility

Job summary

Realm is seeking an intern to work with our engineering team on real features that run at active mine sites. You’ll contribute to a TypeScript backend, build end-to-end features, and apply AI with LLMs for analysis and automation.

You’ll collaborate with a senior team, deploy to production via Kubernetes, and gain hands-on experience shaping AI infrastructure for a critical global industry.

Qualifications

• Pursuing a BS in Computer Science or related field (junior or senior).
• Strong CS fundamentals including data structures, algorithms, and system design.
• Proficiency with agentic coding tools (Claude Code, Codex, or Cursor).
• Willing to work across the stack and learn independently.
• US citizen or permanent resident, based in the US.

Responsibilities

• Contribute to our TypeScript backend serving real-time mining operations data.
• Build and ship features end-to-end.
• Work on applied AI features using LLMs for intelligent analysis and automation.
• Contribute to computer vision pipelines leveraging LLMs and AWS Rekognition/TensorFlow.
• Deploy code to production via Kubernetes with CI/CD.
• Interact directly with users and translate real-world challenges into features.
• Collaborate with our CEO and senior engineering team on growth.

Skills

CS fundamentals

Data structures

Algorithms

System design

Agentic coding tools

Education

BS in Computer Science or related field

Tools

TypeScript

Node.js

Prisma

PostgreSQL

React

Kubernetes

CI/CD

Job description

Realm is seeking an intern to work with our engineering team on real features that run at active mine sites. You’ll contribute to a TypeScript backend, build end-to-end features, and apply AI with LLMs for analysis and automation.

You’ll collaborate with a senior team, deploy to production via Kubernetes, and gain hands-on experience shaping AI infrastructure for a critical global industry.