Senior AI/ML Engineer, Conversational AI

Motorola Solutions; São Paulo; Presencial; BRL 120.000 - 160.000; Tempo integral

Resumo da oferta

A leading technology firm in São Paulo is seeking an experienced AI/ML Engineer to advance conversational AI for public safety. You will build and optimize workflows, work with LLMs, and collaborate with cross-functional teams. Candidates should have 3-8+ years in ML/AI engineering, strong Python skills, and familiarity with cloud infrastructure. This challenging role combines innovation with public service to help first responders.

Qualificações

• 3–8+ years working in ML/AI engineering roles, shipping models or pipelines into production.
• Strong programming skills in Python development.
• Experience with cloud infrastructure (Azure, AWS, GCP).

Responsabilidades

• Build, fine-tune, and evaluate LLMs for public safety workflows.
• Collaborate with product, design, and engineering teams.
• Design and optimize evaluation frameworks.

Conhecimentos

ML/AI engineering

Python development

RAG pipelines

LLM ecosystems

Cloud infrastructure

Ferramentas

Azure

AWS

Docker

Kubernetes

LangChain

Hugging Face

Descrição da oferta de emprego

Please submit your resume in English - we can only consider applications submitted in this language.

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.

Job Description

Assist Chat is our flagship conversational AI for public safety—already live in 9-1-1 centers, patrol vehicles, and real-time crime centers. We’ve built the interface. We’ve embedded it into workflows. Now we’re scaling the intelligence behind it.

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 pipelines for retrieval-augmented generation (RAG), structured data injection, summarization, and classification.
• 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 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 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.

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.