About the job
About Abridge
Founded in 2018, Abridge is dedicated to enhancing understanding in healthcare through our innovative AI-powered platform. We specialize in transforming medical conversations into structured clinical notes in real-time, enabling clinicians to prioritize patient care. Our enterprise-grade technology seamlessly integrates with electronic medical records (EMRs) to ensure accuracy and trust in AI-generated summaries.
As pioneers in generative AI for healthcare, we are setting the industry benchmarks for responsible AI deployment across health systems. Our diverse team consists of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers united in their mission to empower patients and make healthcare more comprehensible. We have offices located in San Francisco's Mission District, New York's SoHo neighborhood, and East Liberty in Pittsburgh.
The Role
Join us as an AI Platform Engineer, where your work will significantly impact the healthcare sector. You will collaborate with a multidisciplinary team of researchers, clinical scientists, and product engineers to design and develop the runtime, orchestration engine, and evaluation platform necessary for agentic orchestration and LLM-driven workflows.
What You’ll Do
Create GenAI systems that transform LLMs into composable, reliable tools, utilizing retrieval, tool use, agentic reasoning, and structured outputs.
Develop a highly reliable and scalable agent runtime that includes orchestration, shared state and memory, tool-calling interfaces, and scheduling focused on cost, latency, and quality.
Build secure, sandboxed environments for agent actions and code, optimizing for cold start, isolation, and observability.
Deliver unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors.
Create an evaluation platform for both online and offline assessments, A/B testing, safety checks, and regression gates that enhance agent reliability over time.
Collaborate with Research to bring new agent capabilities from prototype to production.
What You’ll Bring
Demonstrated experience in building agent applications with tool-calling, context engineering, and related technologies.
Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Familiarity with generative AI technologies and their applications in healthcare.

