Lead AI Quality Engineer Observability & Evaluation

Circle is seeking a Lead Engineer for AI Quality to own and evolve the evaluation frameworks, observability tooling, and diagnostic infrastructure for Circle's AI-powered features. You will lead a growing team while remaining hands-on in code, ensuring reliable, efficient AI systems at scale. The role emphasizes building evaluation pipelines, datasets, and CI/CD workflows, with collaboration across AI core engineering. Strong Ruby on Rails or Python skills and experience in ML evals are required.