Abridge powers better care delivery experiences for everyone.
Structure, summarize, and get insights on any healthcare conversation — all through Abridge’s medical AI.

Abridge

Browse and apply for open jobs at Abridge.

qa-automation-engineer

Abridge is a leading AI company specializing in transforming clinical conversations into structured clinical notes in real-time. By integrating directly with healthcare systems like Epic, Abridge's generative AI platform offers accurate, multilingual summaries and significantly reduces documentation time for clinicians. The platform is highly trusted for improving clinician experience without compromising safety or efficacy. Abridge is dedicated to supporting healthcare systems with innovative AI science to enhance efficiency and is spearheaded by a team of healthcare professionals and AI scientists committed to responsible AI development and continuous innovation.

Abridge powers better care delivery experiences for everyone. Structure, summarize, and get insights on any healthcare conversation — all through Abridge’s medical AI.

• Lead the architectural design and implementation of automated workflows that provision, de-provision, and manage users and licenses across the organization's critical SaaS ecosystem, including platforms like Google Workspace, Slack, GitHub, Notion, Rippling, and other core business applications.
• Develop scalable, resilient workflow automation solutions to streamline critical business processes, including onboarding/offboarding, access requests, compliance enforcement, and self-service IT support.
• Design and implement solutions for the automated lifecycle management of various endpoints and assets, including corporate laptops, mobile devices, and servers, ensuring configuration consistency and rapid compliance remediation.
• Serve as the subject matter expert for integrating disparate systems by building robust, fault-tolerant connections using APIs and event-driven architectures.
• Drive automation within the IAM infrastructure, focusing on automated role assignment, least-privilege policy enforcement, and audit-friendly logging of authentication/authorization events.
• Drive the architecture and engineering of robust data platforms for IT, ensuring efficient collection, normalization, and secure storage of high-volume enterprise data for reporting, audit, and advanced analytics.
• Act as a force multiplier for the team, establishing engineering best practices, leading code reviews, documenting architectures, and mentoring other engineers in automation principles.

Staff IT Automation Engineer

Technical leader at Abridge driving automation solutions for corporate IT infrastructure and enterprise ecosystems. Designing and implementing critical automation workflows and mentoring junior engineers.

technical-recruiter

• Utilize multiple sourcing channels including LinkedIn, technical communities, and other platforms to identify potential candidates
• Research and build talent pipelines for current and future technical opening
• Craft personalized outreach messages that resonate with our target audience
• Conduct initial screening conversations to assess candidate interest and background
• Build and nurture long-term relationships with potential candidates, even when no immediate opportunities exist
• Partner closely with Technical Recruiters and Hiring Managers to understand role requirements and ideal candidate profiles
• Maintain accurate records in our ATS (Ashby)
• Provide regular updates on sourcing metrics and pipeline status
• Participate in intake meetings to understand technical requirements and team dynamics
• Stay current on technical trends, emerging technologies, and competitive landscape
• Identify new sourcing channels and recruiting tools to improve efficiency

Technical Sourcer

Technical Sourcer at Abridge building world-class Engineering and Machine Learning teams for innovative healthcare solutions. Focusing on sourcing and connecting with top-tier technical talent.

engineering-manager

• Recruit and mentor engineers with backgrounds in LLM-driven workflows and Agentic systems.
• Provide regular feedback; create opportunities for career growth; and foster a culture of collaboration and excellence.
• Work closely with ML/AI Research, Inference, Data, and Product teams to plan, execute, and support multiple projects simultaneously. You will be responsible for the engineering process in the team and the output of the team.
• Help set business context for the team and apply your knowledge of business and software engineering to guide architectural discussions; anticipate and resolve technical challenges; and advocate for technology projects.
• Set a high standard for your team including software quality; communication; collaboration; and compliance with industry and regulatory standards.

Engineering Manager, GenAI Platform

Engineering Manager guiding and mentoring a team within Abridge's generative AI-powered platform. Leading technical discussions and overseeing infrastructure for LLM-driven workflows.

manager

• Lead, mentor, and scale a high-impact team of NLP/ML researchers, fostering a culture of technical rigor, creativity, and scientific excellence.
• Set R&D strategy that aligns with company priorities in areas like:
- Clinical NLP, summarization, and dialogue understanding.
- Agentic capabilities, retrieval-augmented generation, reasoning, and tool-use.
- Multimodal and multilingual algorithms.
- Reinforcement learning, preference optimization, and reward modeling.
- Robustness, safety, and evaluation of LLM-powered systems.
• Grow talent pipelines by recruiting world-class researchers and nurturing career development through coaching and mentorship.
• Balance long-term vision with near-term impact, ensuring research not only advances the field but also translates into product-grade systems.
• Partner with engineering teams and clinicians to operationalize novel algorithms into clinician-facing workflows, optimizing both quality and efficiency.
• Ensure safety and robustness in deployment, shaping the standards for evaluation in clinical AI.
• Represent Abridge in the global ML/NLP research community through publications, conference presentations, and industry/academic partnerships.

ML Science Manager

ML Science Manager driving next-gen AI healthcare platform through NLP advancements and team leadership. Leveraging machine learning to enhance patient outcomes and clinician workflows.

full-stack-engineer

• Scale up our business by designing, building, and supporting our integrations and infrastructure
• Build robust healthcare integrations without compromising security, privacy, or quality. These integrations will leverage technology standards using REST-like APIs, healthcare standards such as FHIR and HL7v2, and other third-party APIs.
• Collaborate closely with our health system customers to deploy, troubleshoot, and support integrations. Be comfortable engaging with external partners and stakeholders.
• Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security
• Advocate for high standards; make quality-of-life improvements to the codebase; add documentation and share knowledge; and help limit the growth of technical debt
• Build deep user empathy and maintain a user-centric mindset
• Communicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines, including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the company

Full Stack Engineer, Integrations

Senior Integrations Engineer at Abridge, designing and building healthcare integrations using Node.js/TypeScript. Collaborate with health systems in a fast-paced startup environment.

ai-engineer

• Design and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs.
• Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool-calling interfaces, and scheduling for cost, latency, and quality.
• Build secure, sandboxed execution for agent actions and code; optimize cold start, isolation, and observability.
• Ship unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors for data and actions.
• Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time.
• Partner with Research to deliver new agent capabilities end to end—from prototype to production.

Software Engineer, Gen AI Platform

AI Platform Engineer collaborating closely with researchers and product engineers on healthcare AI-powered products. Designing and building runtime, orchestration engine, and evaluation platform for workflows.

Abridge

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