This role focuses on building and optimizing the core inference infrastructure for AI models in a healthcare setting. The engineer will design, deploy, and maintain scalable Kubernetes clusters, develop and optimize ML model serving infrastructure for high performance and low latency, and scale backend infrastructure for AI-driven products. Key responsibilities include optimizing compute-heavy workflows, enhancing GPU utilization, and building a robust model API orchestration system, collaborating with research and product teams.

Engineering Manager for Platform at Abridge, focusing on improving developer experience and productivity. The role involves evolving the developer platform, cloud infrastructure, and CI/CD systems to enable fast, reliable, and AI-augmented software delivery. Key responsibilities include leading a team, driving execution of platform capabilities, and embedding AI into the development lifecycle to accelerate productivity and improve code quality.

Engineering Manager for Platform at Abridge, focusing on improving developer experience and productivity through platform evolution, cloud infrastructure, and CI/CD systems. The role involves leading a team, driving execution, and integrating AI into the development lifecycle to accelerate productivity and improve code quality.

Abridge is seeking a Senior Platform Engineer to scale their cloud infrastructure and developer experience. The role involves multi-tenant/multi-cloud infrastructure, security practices, Terraform, service templates, CI/CD, and observability. The goal is to maximize engineering velocity and security at scale, with a focus on AI-first, cloud-native, and security-first implementations in healthcare.

Abridge is seeking a Senior Software Engineer to join their scaling AI systems team. This role focuses on improving the performance, stability, and scalability of their AI-powered healthcare platform. Responsibilities include load testing, chaos engineering, identifying and resolving performance bottlenecks, driving software changes for scalability, building developer tools, and improving incident response through enhanced observability. The role is primarily software-focused with a portion on cloud infrastructure, working with distributed systems and cloud-native technologies on GCP.