Remote AI Software Engineer — LLM & Enablement

Motorola Solutions; Yorktown (VA); Remote; USD 95,000 - 105,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

10 Paid Holidays

Employee Stock Purchase Plan

Job summary

Motorola Solutions is seeking a Software Engineer to design, develop, and optimize AI-enabled workflows within our Command Center Solutions Services engineering group. You will implement AI models and algorithms, translate AI/ML insights into efficient software, and maintain comprehensive tests to ensure performance and reliability.

The role emphasizes modern development languages, strong software engineering principles, and experience with large language models.

Qualifications

• 2–5 years of software development experience with focus on performance.
• Bachelor's degree in CS or Software Engineering is required.
• Proficiency in Python and/or JavaScript for scripting and tooling.
• Strong understanding of design patterns, testing methodologies, and version control.
• Experience with Linux/embedded Linux development environments.
• Experience with CI/CD systems like GitHub Actions or Azure DevOps is 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

Design patterns

Testing methodologies

Version control

Embedded Linux

CI/CD

GitHub Actions

Azure DevOps

Education

Bachelors in CS/Software Eng

Tools

GitHub Actions

Azure DevOps

Job description

Motorola Solutions is seeking a Software Engineer to design, develop, and optimize AI-enabled workflows within our Command Center Solutions Services engineering group. You will implement AI models and algorithms, translate AI/ML insights into efficient software, and maintain comprehensive tests to ensure performance and reliability.

The role emphasizes modern development languages, strong software engineering principles, and experience with large language models.