Sr AI Engineer (ML & Data)

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, with users who rely on them today. Hands-on experience with Databricks, developing and managing batch and streaming pipelines. Cloud experience in Azure or AWS. You use evals and data to decide when an agent is ready to ship and to measure whether it’s succeeding once live. Strong Python, with experience building with LLM APIs and MCP. Experience with agent frameworks or SDKs, and knowing when not to use one. You already use coding agents as your main way of building software. You work independently, gather requirements from non-engineering stakeholders and give specific answers. When you don’t know something, you say so. Advanced English, written and oral. Nice To Have Owning deployment of what you build: CI/CD, infrastructure as code (Terraform) and monitoring. Processing complex documents with LLMs (OCR, extraction). MLOps tools such as MLflow. Background in logistics, transportation or compliance. Important Remote, LATAM Overlap with 9am–5pm US Eastern Interviews are hands-on: expect to walk through something you’ve built and shipped, in detail. Perks 💵 Monthly USD Service Fee 🌴 20 business days of paid Agreed Time Off—Annual + 6 Local Holidays 🐣Caregiver Time Off 💻A dynamic remote work culture. You can work from anywhere! 🚀An entrepreneurial environment. About Us In 2010, our founders dreamed up a company that could positively impact the world. Since then, we've been in permanent evolution: from business consulting to innovation and design, and now to building amazing digital products powered by AI. We scaled globally, launched AI Labs and Reshape Studios, and claimed our space as an AI consulting firm — helping organizations move from pilots to production through accountable AI. Today, we're expanding our impact across industries, driving real AI adoption through accountability, governance, and value at scale. Dreamers first, builders always. … mais Pesquise vagas mais rápido com Premium Acesse informações sobre empresas, como prioridades estratégicas, tendências de número de funcionários e muito mais Guilherme e outros milhões de usuários têm contas Premium Reative o Premium Aproveite o suporte 24 horas e cancele quando quiser. Sobre a empresa Arionkoder 16.621 seguidores Seguir Atividades dos serviços de tecnologia da informação • 51-200 funcionários • 178 no LinkedIn Here’s the most common approach to AI: run a pilot, ship something, move on. When the engagement ends, so does the progress. Because AI-native operations aren't made in a single engagement, they need an operating model that allows continuous improvement. That’s why Arionkoder is built differently. We help companies become AI-native and stay that way: we build the AI infrastructure, governance, and trust frameworks they need to keep evolving, long after we're gone. We do it through The Foundry, our core system for turning AI ideas into production-ready capabilities. Through it, we've built our own intellectual property (IP), methodology, and systems that get better with every engagement: research feeds innovation; innovation feeds delivery; and each delivered project feeds back into the stack, making the next one sharper, faster, and more reliable. This is where continuous improvement actually happens. Every output from The Foundry is built on Safety, Security, Reliability, and Transparency from day one, because AI that teams don't trust doesn't get adopted. That's our foundation. We work across: 1) End-to-end AI Advisory: Strategy, AI readiness assessment, and AI deployment from first brief to production. We frame the right problems, prove value fast, and develop systems that deliver measurable results. With MLOps, governance, and trust embedded from day one. 2) Applied AI Solutions: We assess, design, and ship the idea you have in mind. This is custom AI with advisory at every step so you get AI adopted, governed, and trusted. 3) Embedded AI Teams: A dedicated team of AI specialists that works on digit