Senior / Staff Software Engineer, Agentic Engineering

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge's platform is scaling fast alongside our expanding customer base and product growth. We're building a new agentic engineering team — one of our top company priorities — reporting directly to our CTO. We're looking for Engineers to help build the agentic infrastructure every engineer at Abridge relies on. You'll work at the intersection of AI tooling, CI/CD and developer experience — building the internal systems and agents that power how we develop and ship software. As an early member of this team, you'll tackle high-impact, high-ambiguity problems spanning CI/CD pipelines, MCP servers, and AI agents. Your work will directly shape how engineers build and deploy across Abridge. This is a rapidly-evolving role that sits at the intersection of AI, developer experience, platform engineering, and healthcare. This is a hybrid role with a minimum of 3 days / week (MWF) in our San Francisco office. Please only apply if you are able to commit to this model and/or willing to relocate to San Francisco. WHAT YOU’LL DO - Build and evolve developer infrastructure: Own CI/CD systems, build tooling, and developer platforms that improve velocity and reliability across engineering. Drive measurable improvements in build/test times, deployment frequency, and onboarding experience. - Design and implement agentic workflows: Build MCP servers, autonomous agents, and AI-assisted tooling that embed AI deeply into the development lifecycle. Help teams integrate these tools effectively into their day-to-day work. - Own the developer experience: Improve the end-to-end developer journey — from local development and testing to deployment and observability. Identify and eliminate friction, treating internal engineers as your customers. - Drive technical excellence: Bring strong systems thinking to architecture and tooling decisions that improve developer ergonomics, feedback loops, and development velocity. - Evaluate and adopt AI tooling: Stay current on AI-powered development tools and guide adoption across the engineering org to deliver measurable productivity gains. WHAT YOU’LL BRING - Strong experience building and evolving CI/CD systems and build tooling (e.g., Bazel, Buck, GitHub Actions, Buildkite, CircleCI). - Hands-on experience with agentic frameworks, MCP servers, LLM tooling, or AI-assisted development workflows. - Experience improving developer experience across local development, CI/CD pipelines, internal tooling, and developer workflows. - Familiarity with production systems in public cloud environments (AWS, GCP, or similar). - Experience with containerized environments, Kubernetes, and modern infrastructure tooling (e.g., ArgoCD, Istio, Atmos). - Strong track record of leveraging AI tools and workflows to materially improve engineering velocity and operational efficiency. - Strong communication skills and ability to collaborate across teams and functions. - Genui