Remote AI/LLM Software Engineer: Deploy & Optimize

Motorola Solutions; Boston (MA); Remote; USD 95,000 - 105,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

Paid Holidays

Paid Time Off

Job summary

Motorola Solutions is seeking a Software Engineer for the Command Center Solutions Services group to design, develop, and optimize enablement applications leveraging AI models and LLMs. You will implement high-performance code, translate AI models into production-ready software, and maintain tests while contributing to code reviews and best practices.

The role requires strong programming skills in Python/JavaScript, experience with Linux environments, and familiarity with CI/CD tools.

Qualifications

• Bachelor's degree in CS, Software Engineering, or related field.
• 2-5 years of software development experience with focus on performance.
• Experience deploying AI models is highly desired.
• Experience with security or data governance standards is desirable.
• Proficiency in Python and/or JavaScript for scripting and tooling.
• Strong CS fundamentals: design patterns, testing, and version control.
• Experience with Linux/embedded Linux development environments.
• Excellent problem-solving and collaboration skills.

Responsibilities

• Design, develop, and test high-performance code for AI model implementations.
• Translate AI/ML models into efficient implementations.
• Develop and maintain unit and integration tests.
• Participate in code reviews and document best practices.
• Stay up-to-date with AI and LLM advancements.

Skills

Python

JavaScript

CI/CD

GitHub Actions

Azure DevOps

Linux

LLMs

Testing

Education

Bachelor's degree in Computer Science or related

Master's degree a plus

Tools

Git

Github Actions

Azure DevOps

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Job description

Motorola Solutions is seeking a Software Engineer for the Command Center Solutions Services group to design, develop, and optimize enablement applications leveraging AI models and LLMs. You will implement high-performance code, translate AI models into production-ready software, and maintain tests while contributing to code reviews and best practices.

The role requires strong programming skills in Python/JavaScript, experience with Linux environments, and familiarity with CI/CD tools.