Senior / Staff Software Engineer, Agentic Engineering

Abridge Abridge · Vertical AI · San Francisco, CA · Builder

Abridge is seeking a Senior/Staff Software Engineer for their new Agentic Engineering team. This role focuses on building the internal agentic infrastructure, CI/CD systems, and AI-assisted tooling that engineers at Abridge rely on to develop and ship software. The position involves designing and implementing agentic workflows, improving the developer experience, and evaluating AI tooling to enhance engineering velocity and operational efficiency within the healthcare domain.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. Drive technical excellence: Bring strong systems thinking to architecture and tooling decisions that improve developer ergonomics, feedback loops, and development velocity.
  5. Evaluate and adopt AI tooling: Stay current on AI-powered development tools and guide adoption across the engineering org to deliver measurable productivity gains.

Skills

Required

  • 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.

Nice to have

  • You've built or contributed to an internal developer platform (IDP) at scale.
  • You have experience with multi-agent orchestration (LangGraph, LangChain, or similar).
  • You've worked in regulated industries or healthcare environments.

What the JD emphasized

  • agentic infrastructure
  • agentic frameworks
  • AI-assisted development workflows
  • AI tooling
  • AI-powered development tools

Other signals

  • building agentic infrastructure
  • embedding AI into the development lifecycle
  • evaluating and adopting AI tooling