AI & Internal Tools Engineer Intern

Telemetry Today LLC

Vista (CA)

On-site

USD 52,000 - 56,000

Full time

3 days ago
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Job summary

Inversion is seeking an AI & Internal Tools Software Engineering Intern to build software that accelerates engineering and business teams. You will own a major project, building internal apps, automation platforms, and AI-enabled tools across the stack—from frontend to APIs and data infrastructure.

You'll work with engineers and stakeholders to understand needs, deliver solutions, and deploy production-grade tools that the company uses daily.

Qualifications

  • Currently pursuing a bachelor's, master's, or doctoral degree in Computer Science, Software Engineering, or related technical discipline.
  • Demonstrated software development experience through projects, open-source, research, teams or internships.
  • Familiarity with frontend or backend development, APIs, or databases.
  • Strong fundamentals in debugging, testing, data structures, and design.
  • Ability to independently build software and learn new tech.
  • Strong problem-solving, creativity, and collaboration with stakeholders.

Responsibilities

  • Own a major software project from concept through design, implementation, testing, and deployment.
  • Design and build full-stack applications with intuitive UIs, backend services, and APIs.
  • Develop AI-enabled tools and automation for engineering and business workflows.
  • Integrate LLMs and AI agents into practical software solutions.
  • Collaborate with engineers, operations, and stakeholders to improve workflows.
  • Gather user feedback, iterate and deliver production-quality tools.

Skills

Software development
Frontend & Backend
Debugging & Testing
Communication & Collaboration
Independent learning

Education

BS/MS/PhD in CS/SE or related field

Tools

React
TypeScript
Python
Node.js
Docker

Job description

Inversion is seeking an AI & Internal Tools Software Engineering Intern to build software that accelerates engineering and business teams. You will own a major project, building internal apps, automation platforms, and AI-enabled tools across the stack—from frontend to APIs and data infrastructure.

You'll work with engineers and stakeholders to understand needs, deliver solutions, and deploy production-grade tools that the company uses daily.

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