AI Software Engineer — Enablement & LLM Deployment

Motorola Solutions

Massachusetts

Hybrid

USD 95,000 - 105,000

Full time

14 days+

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Benefits offered by this job

Incentive Bonus Plans
Medical, Dental, Vision benefits
401K with Company Match
10 Paid Holidays
Generous Paid Time Off Packages
Employee Stock Purchase Plan
Paid Parental & Family Leave

Job summary

Motorola Solutions is seeking a Software Engineer for the Command Center Solutions Services engineering group to design, develop, and optimize enablement applications that leverage AI models. You will implement efficient AI-powered solutions and contribute to deployment engineering workflows.

The role requires strong Python/JavaScript programming, Linux development experience, and familiarity with CI/CD and AI model deployment. Travel is anticipated 25–50% in the United States.

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field required.
  • 2–5 years of software development experience with emphasis on performance.
  • Experience implementing and deploying AI models is highly desired.
  • Experience with standards compliance (security or data governance) and requirements traceability is highly desired.
  • Proficiency in Python and/or JavaScript for scripting and tooling.

Responsibilities

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

Skills

Python
JavaScript
Software engineering
Linux
Embedded Linux
CI/CD
Git
GitHub Actions
Azure DevOps
n8n
AI/LLMs
Security/compliance

Education

Bachelor's degree in CS/Software Engineering
Master's degree preferred

Tools

GitHub Actions
Azure DevOps
n8n

Job description

Motorola Solutions is seeking a Software Engineer for the Command Center Solutions Services engineering group to design, develop, and optimize enablement applications that leverage AI models. You will implement efficient AI-powered solutions and contribute to deployment engineering workflows.

The role requires strong Python/JavaScript programming, Linux development experience, and familiarity with CI/CD and AI model deployment. Travel is anticipated 25–50% in the United States.

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