# Sr AI Engineer (ML & Data) at Jobgether Sr AI Engineer (ML & Data) at Jobgether in Brazil. Remote, full-time. Posted November 4, 2026. - Company: Jobgether - Location: Brazil - Workplace: Remote - Job type: Full-time - Posted: 2026-11-04 - Apply: https://jobs.lever.co/jobgether/de06b41e-a441-42ce-be13-5134f3b7dbe8/apply - Source: https://jobmagic.ai/jobs/sr-ai-engineer-ml-data-jobgether-dgnx04 ## 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. - 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. ## Description **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. **How Jobgether works:** We use an **AI-powered matching process** to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    **Data Privacy Notice:** By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1