Cinder is seeking an AI/ML engineer to architect and deploy production AI systems at scale. You'll contribute to the strategic vision for machine learning and AI at Cinder, collaborating with data and software engineers to build world-class AI capabilities that directly impact our product and business outcomes. We're looking for an engineer first - someone who builds, ships, and maintains production systems rather than writing papers. If you've taken ML models from experimentation to production at scale, navigated the messy realities of real-world data, and understand that robust infrastructure matters as much as model performance, we want to talk. What you'll do: - Own the complete lifecycle of large language model implementation: from data preparation and fine-tuning through rigorous evaluation and production deployment. - Develop automated evaluation frameworks that continuously assess model accuracy, identify edge cases, and quantify improvements across iterations. - Work directly with product managers and engineers to integrate AI as a core product capability. - Shape our AI roadmap by staying current with industry developments, evaluating emerging techniques, and making pragmatic adoption decisions. - Design and implement low-latency, high-throughput, cloud-based AI/ML systems capable of handling thousands of requests per second - Build the foundational infrastructure - model serving, monitoring, deployment pipelines, and automated testing frameworks - that enables rapid experimentation and iteration while maintaining production reliability.