Sr AI Engineer (ML & Data)

BrazilRemoteFull-timesenior

Machine Learning EngineerData

1 views0 saves0 applied

Apply Now

Quick Summary

Overview

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr AI Engineer (ML & Data) based in Brazil.

Technical Tools

Machine Learning EngineerData

We are seeking a senior AI engineer with a strong machine learning background and hands-on experience building, deploying, and operating AI agents on large-scale datasets. In this remote contract role, you will develop production-ready AI solutions that combine advanced agentic workflows with enterprise data infrastructure. You will work with extensive datasets, including millions of compliance documents and more than a decade of tolling, inspection, safety, and vehicle information. Your work will support AI-powered products serving the trucking and fleet compliance industry, with a direct impact on revenue, operational safety, and regulatory compliance. You will collaborate with cross-functional stakeholders in a fast-moving, entrepreneurial environment focused on practical outcomes and continuous improvement. The role offers significant ownership, technical autonomy, and the opportunity to shape how AI is built and deployed at scale.

Design, build, and deploy AI agents and features end to end, from initial specifications through production.
Deliver early iterations and continuously improve solutions based on feedback from real users.
Collaborate with product, support, and engineering stakeholders to translate business challenges into clear technical requirements.
Develop AI agents and machine learning features using large datasets and Databricks.
Build and manage batch and streaming data pipelines to support AI-powered applications.
Monitor production solutions, evaluate agent performance, manage costs, and troubleshoot failures.
Promote best practices in agentic engineering to improve development speed, reliability, and team productivity.
Use coding agents as primary development tools, defining tasks, reviewing generated outputs, validating results, and coordinating parallel workflows.
Strengthen engineering processes through testing, CI, agent reviews, and reusable skills that prevent recurring issues.

Requirements

~1 min read

Professional background in machine learning or AI engineering.
Proven experience delivering AI agents or LLM-powered features to production, with real users actively relying on them.
Hands-on experience with Databricks, including developing and managing batch and streaming data pipelines.
Cloud experience with AWS and/or Azure.
Experience using evaluations and data to determine when AI agents are ready for deployment and measure their effectiveness in production.
Strong Python proficiency, with practical experience building solutions using LLM APIs and MCP.
Familiarity with agent frameworks or SDKs, including the ability to identify when a framework is unnecessary.
Established experience using coding agents as the primary approach to software development.
Ability to work independently, gather requirements from non-engineering stakeholders, communicate clearly, and provide specific, honest answers.
Advanced written and spoken English, as the role operates entirely in English.
Availability to overlap with US Eastern business hours, approximately 9 AM–5 PM.
Willingness to participate in hands-on technical interviews, including detailed discussions of solutions previously built and shipped.

Nice to Have

~1 min read

Experience owning deployment processes, including CI/CD, infrastructure as code (Terraform), and monitoring.
Experience processing complex documents with LLMs, including OCR and data extraction.
Familiarity with MLOps tools such as MLflow.
Background in logistics, transportation, or compliance.