Sr AI Engineer (ML & Data)

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.

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.

Accountabilities

• 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:

• 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:

  • 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.

  Benefits:

  • Monthly service fee paid in USD.

  • 20 business days of paid agreed time off annually.

  • Six local holidays.

  • Caregiver time off.

  • Fully remote work arrangement, with the flexibility to work from anywhere in Latin America.

  • Dynamic and entrepreneurial work environment.