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Motorola Solutions

Senior AI/ML Engineer, Agentic AI

Reposted 18 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Brazil
Senior level
Remote or Hybrid
Hiring Remotely in Brazil
Senior level
This role involves building and optimizing LLMs and AI systems for public safety, focusing on real-time application and collaboration with various teams.
The summary above was generated by AI
Company Overview

At Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that’s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.


Department Overview
Community & Intelligence Engineering. The product is Assist Agents.
Job Description

Why This Role

Assist Agents is Motorola’s next-gen agentic AI for public safety—helping 9-1-1 call takers, dispatchers, analysts, and officers get answers in seconds, not minutes. It’s fast, reliable, embedded in real workflows, and powered by real-time AI.

This AI/ML Engineer role is an opportunity to push the frontier of how public safety professionals interact with language models in high-stakes environments.
 

Your Mission
  • Build, fine-tune, and evaluate LLMs and task-specific agents for public safety workflows.

  • Develop safe, performant systems designed to perform tasks autonomously by making decisions, taking actions, and adapting to dynamic environments.

  • Collaborate with product, design, and engineering to embed AI directly into real-time workflows—no labs, no “eventual” use cases.

  • Design and optimize evaluation frameworks, including offline metrics and human-in-the-loop validation.

  • Work on problems that bridge research and production: speed, hallucination risk, latency, data ambiguity, and feedback integration.

  • Collaborate with AI researchers and responsible AI team to build the best possible AI solutions for our customers.

What You Bring
  • 3–8+ years working in ML/AI engineering roles—shipping models or pipelines into production.

  • Familiarity with LLM ecosystems (OpenAI, Claude, Mistral, Llama, etc.) and modern AI stacks (LangChain, LlamaIndex, Ray, Hugging Face).

  • Experience with agentic AI, RAG pipelines, prompt engineering, prompt chaining, and fine-tuning preferred.

  • Strong programming skills in Python development and testing (and ideally some experience working alongside full-stack engineers).

  • Experience with cloud infrastructure (Azure, AWS, GCP), containerization (Docker/kubernetes), and CI/CD pipelines.

  • Pragmatism—able to operate in applied, real-world settings with real constraints.

  • Bonus: experience with AI safety, model evaluation, or regulated domains.

Why You Might Join
  • You want to move fast without compromising safety—and you care about what your AI touches.

  • You’re looking for a team that’s already shipping—and will put your work into production quickly.

  • You’re motivated by a mission that’s hard to fake: getting first responders the right info, right now.

  • You want to be the first AI/ML hire on a flagship product, helping shape both the direction and the foundation.


Basic Requirements
What You Bring
  • Proven ability to communicate technical information effectively in English, both verbally and in writing, with both local and remote teams

  • 3–8+ years working in ML/AI engineering roles—shipping models or pipelines into production.

  • Familiarity with LLM ecosystems (OpenAI, Claude, Mistral, Llama, etc.) and modern AI stacks (LangChain, LlamaIndex, Ray, Hugging Face).

  • Experience with agentic AI, RAG pipelines, prompt engineering, prompt chaining, and fine-tuning preferred.

  • Strong programming skills in Python development and testing (and ideally some experience working alongside full-stack engineers).

  • Experience with cloud infrastructure (Azure, AWS, GCP), containerization (Docker/kubernetes), and CI/CD pipelines.

  • Pragmatism—able to operate in applied, real-world settings with real constraints.

  • Bonus: experience with AI safety, model evaluation, or regulated domains.

#LI-WC1


Travel Requirements
None
Relocation Provided
None
Position Type
Experienced

Referral Payment PlanYes

EEO Statement

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

Top Skills

AWS
Azure
Docker
GCP
Hugging Face
Kubernetes
Langchain
Llamaindex
Python
Ray

Motorola Solutions Somerville, Massachusetts, USA Office

450 Artisan Way, #200, Somerville, MA, United States, 02145

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