AI & LLM Software Engineer — Enablement Platform

Motorola Solutions; New York (NY); On-site; USD 95,000 - 105,000; Full time

Benefits offered by this job

Incentive Bonus Plans

Medical, Dental, Vision benefits

401K with Company Match

10 Paid Holidays

Generous Paid Time Off

Job summary

Motorola Solutions in New York is seeking a Software Engineer to design, develop, and optimize enablement applications for deployment resources using AI models and algorithms. You will translate AI/ML models into efficient code and contribute to testing, reviews, and documentation.

The role emphasizes modern languages, development principles, and experience with large language models to enhance mission-critical deployments. Collaboration and independent work are valued.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Masters degree is a plus.
• 2-5 years of software development experience with performance focus.
• Experience deploying AI/ML models and with security or data governance is desirable.
• Proficiency in Python and/or JavaScript for scripting and tooling.
• Strong CS fundamentals: design patterns, testing, version control (Git).
• Experience with Linux/embedded Linux development environments.

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 document best practices.
• Stay up-to-date with AI and LLM advancements.

Skills

Python

JavaScript

Software development

CI/CD

Linux

Debugging

Communication

Education

Bachelor's degree in Computer Science or Software Engineering

Master's degree

Tools

Git

GitHub Actions

Azure DevOps

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Job description

Motorola Solutions in New York is seeking a Software Engineer to design, develop, and optimize enablement applications for deployment resources using AI models and algorithms. You will translate AI/ML models into efficient code and contribute to testing, reviews, and documentation.

The role emphasizes modern languages, development principles, and experience with large language models to enhance mission-critical deployments. Collaboration and independent work are valued.