5 hours ago
Base Salary
$167k - $184k/yr
Responsibilities
- Contribute to backend and frontend systems across Abridge.
- Build and iterate on agentic LLM systems, including retrieval pipelines, structured tool use, and chained LLM workflows.
- Prototype with new models, prompting techniques, and orchestration tools such as LangChain and LlamaIndex.
- Develop evaluation frameworks and automated pipelines with human-in-the-loop review for accuracy, robustness, and clinical reliability.
- Contribute to monitoring and observability systems for production LLM workflows.
- Collaborate with machine learning, infrastructure, product, clinical, research, and engineering teams.
Requirements
- Degree in computer science or a related field, or equivalent experience through projects, bootcamps, or open source work.
- Hands-on generative AI experience through coursework, personal projects, internships, hackathons, or similar work.
- Experience integrating an LLM API, building a RAG pipeline, experimenting with agents, or shipping an AI-powered project.
- Familiarity with prompt chaining, tool use, and retrieval concepts.
- Curiosity about model evaluation, failure modes, and LLM system reliability.
- Collaborative, low-ego working style and willingness to contribute across areas.
Benefits
- Onsite five days per week in the San Francisco office.
- Fourteen paid holidays and flexible PTO for salaried employees.
- Medical, dental, and vision coverage for full-time employees and their families.
- HSA contributions for employees enrolled in a high-deductible health plan.
- Paid parental leave and family-forming benefits.
- 401(k) matching, flexible spending accounts, commuter benefits, and a personal device allowance.
- Monthly lifestyle wallet contributions for fitness, professional development, coworking, and related expenses.
- Mental health support, paid sabbatical leave after five years, and compensation and equity grants for full-time employees.
Categories
About Abridge
Abridge builds an AI platform that converts patient–clinician conversations into EHR-ready clinical documentation for hospitals and clinicians. The enterprise SaaS includes automatic speech recognition and clinical note generation validated across 28+ languages, and integrates with major EHR systems. Founded in 2018 and headquartered in San Francisco, the privately held company sells to U.S. health systems, hospitals, and clinics.