AI Tools Engineer: LLMs, APIs & Data Systems

Motorola Solutions; Portland (ME); On-site; USD 78,000 - 88,000; Full time

Benefits offered by this job

401K with Company Match

Medical, Dental, Vision benefits

Incentive Bonus Plans

10 Paid Holidays

Generous Paid Time Off

Job summary

Motorola Solutions is seeking an experienced software engineer to design and implement language and document generation solutions. You will drive tasks end-to-end, collaborate with product managers, designers, and stakeholders, and contribute to architecture decisions in a fast-paced, safety-focused environment.

The ideal candidate has 3+ years in software development and hands-on AI/ML/LLMs experience, plus strong API security and cloud skills.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 3+ years of software development experience.
• 3+ years in designing and developing AI/ML applications, especially LLMs.

Responsibilities

• Write and debug high-quality code for language and document generation systems.
• Manage development tasks through full SDLC including design, coding, testing and deployment.
• Collaborate with cross-functional teams to ensure project success.
• Build strong relationships through clear communication.
• Participate in design discussions and provide feasibility estimates.

Skills

Bachelors in CS/Engineering

Software dev exp 3+ yrs

AI/ML/Large language models

Agile / project mgmt

API auth flows

Cloud: GCP/AWS

Git & GitHub

SQL/BigQuery

JavaScript/Node.js

Python

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Google Cloud Platform

AWS

BigQuery

GitHub

VSCode

Job description

Motorola Solutions is seeking an experienced software engineer to design and implement language and document generation solutions. You will drive tasks end-to-end, collaborate with product managers, designers, and stakeholders, and contribute to architecture decisions in a fast-paced, safety-focused environment.

The ideal candidate has 3+ years in software development and hands-on AI/ML/LLMs experience, plus strong API security and cloud skills.