Remote AI Software Engineer (LLM & Deployment)

Motorola Solutions; Bristol (RI); 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 for the Command Center Solutions Services group to design, develop, and optimize AI-enabled enablement applications. You’ll translate AI/ML models into efficient software, develop tests, and stay abreast of AI/LLM advancements.

Ideal candidates have a CS/SE degree with 2–5 years of software development experience, strong performance optimization skills, and proficiency in Python and JavaScript.

Qualifications

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

Responsibilities

• Design, develop, and test high-performance 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

AI model design

Python

JavaScript

LLM systems

Testing frameworks

Education

Bachelor's degree in Computer Science or Software Engineering

Tools

GitHub Actions

Azure DevOps

Linux

Job description

Motorola Solutions is seeking a Software Engineer for the Command Center Solutions Services group to design, develop, and optimize AI-enabled enablement applications. You’ll translate AI/ML models into efficient software, develop tests, and stay abreast of AI/LLM advancements.

Ideal candidates have a CS/SE degree with 2–5 years of software development experience, strong performance optimization skills, and proficiency in Python and JavaScript.