Remote AI Software Engineer — LLM & Deployment

Motorola Solutions

Virginia

Remote

USD 95,000 - 105,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental, Vision benefits
10 Paid Holidays
Employee Stock Purchase Plan

Job summary

Motorola Solutions in the United States seeks a Software Engineer for the Command Center Solutions Services engineering group to design, develop, and optimize enablement applications leveraging AI models and large language technologies. You will translate AI/ML models into efficient code, develop unit and integration tests, and stay current with AI and LLM advances.

Requires 2–5 years in software development, strong Python and/or JavaScript scripting, and experience with Linux and CI/CD (GitHub

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 2-5 years of software development experience with emphasis on performance optimization.
  • Proficiency in Python and/or JavaScript for scripting and tooling.
  • Experience implementing and deploying AI models is highly desired.
  • Experience with security or data governance standards and traceability is highly desired.
  • Experience with Linux/embedded Linux development environments.
  • CI/CD systems like GitHub Actions or Azure DevOps is also a plus.

Responsibilities

  • Design, develop, and test high-performance modern code for implementing AI models.
  • Translate AI/ML models into efficient implementations.
  • Develop and maintain unit and integration tests.
  • Stay up-to-date with the latest advancements in AI and LLM systems.

Skills

Python/JavaScript scripting
CI/CD
Linux development

Education

Bachelor's degree in Computer Science / Software Engineering

Tools

GitHub Actions
Azure DevOps
Linux

Job description

Motorola Solutions in the United States seeks a Software Engineer for the Command Center Solutions Services engineering group to design, develop, and optimize enablement applications leveraging AI models and large language technologies. You will translate AI/ML models into efficient code, develop unit and integration tests, and stay current with AI and LLM advances.

Requires 2–5 years in software development, strong Python and/or JavaScript scripting, and experience with Linux and CI/CD (GitHub

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