arionkoder · LATAM
Skills: Python, AWS, CI/CD
Arionkoder is an AI consulting firm helping companies build, embed, and own AI systems that drive real business outcomes. We combine Product Development, Artificial Intelligence, and Team Augmentation to craft digital products and solutions that create lasting impact — guided by a human-centric approach and a commitment to pushing the boundaries of what technology can do. We’re hiring a contract AI engineer with a machine learning background who builds, deploys and operates AI agents in production on top of large datasets, using leading-edge agentic development practice to ship quickly. Our client builds AI agents and products for the trucking and fleet compliance space, used by both its customers and its internal teams. Agents work across tolling and millions of compliance documents, on top of more than 10 years of toll, inspection, safety and vehicle data. What you ship affects revenue, safety and compliance directly. Responsibilities: Design, build and deploy AI agents end to end, from first spec to production. Ship early and iterate on feedback from real users. Work with product, support and engineering stakeholders to turn loose problems into clear requirements. Build agents and AI features on top of the client’s data in Databricks. Own what you ship once it’s live: monitoring, evals, cost and failure handling. Help the team move faster by bringing in and spreading best practices in agentic engineering. How you’ll work: Use coding agents as your main way of building software: define the work, check what agents produce and make the calls that matter. Break work into pieces an agent can finish and you can verify, and run several agents in parallel. Rely on tests, CI and agent review so speed doesn’t cost quality. When something goes wrong, improve your setup so it doesn’t happen again, and package what works as reusable skills for the team. Requirements: Machine learning or AI engineering background. A track record of shipping agents and AI features to production…
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