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About the Role
We are seeking an experienced AI engineer to own the development of key components of the Onos platform, including models for assessing appropriate patient care. As an early team member, you will also contribute to backend and data engineering tasks, ensuring excellent customer outcomes.
Responsibilities
- Develop LLM/NLU systems to process clinical notes and medical documents, classify patients by level-of-care guidelines, and make recommendations.
- Establish best practices for LLM/AI systems, including benchmarking, evaluation frameworks, and model governance for reliability, maintainability, and scalability.
- Build scalable data pipelines while maintaining strict data privacy and security standards.
- Collaborate with backend engineers to integrate AI/ML capabilities into the Onos platform.
- Build and operationalize AI/data pipelines to analyze medical records for streamlining clinical assessments and healthcare quality reviews.
- Benchmark LLM systems for accurate and reliable evidence extraction from medical records and patient level-of-care recommendations.
- Develop and optimize a system for ingesting complex medical standards of care documents and evaluating provider adherence to guidelines.
- Design explainable AI solutions to provide transparency into model decisions for healthcare professionals.
Requirements
- 5+ years of experience building and deploying applications in production in a backend or data engineering capacity.
- Relevant experience developing LLM-based systems for ingesting and evaluating unstructured records for industry-specific use cases and integrating them with user-facing features.
- Deep understanding of LLM limitations and best practices for reliable, consistent, and accurate outputs.
- Customer-obsessed and motivated to build a best-in-class model for behavioral health clinical assessments.
- Collaborative team player with a focus on delivering measurable results.
- Experience wearing multiple hats as a generalist backend engineer.
- Experience working with data pipelines and Python and related data science/ML libraries.
- Significant experience working with healthcare data and HIPAA best practices.
- Knowledge of modern LLM and ML infrastructure and MLOps best practices.
Skills
- LLM/NLU
- Python
- Django
- Celery
- django-ninja
- django-tenants
- PostgreSQL
- AWS
- Docker
- Github Actions
- Data Pipelines
- MLOps
Location
- San Francisco
Work Type
- Hybrid
- Remote-first
Experience Level
- Early team member
- 5+ years
Benefits
- Flexible hybrid arrangement
- Unlimited vacation policy
- Paid parental leave
- Medical, dental, and vision insurance
- Pre-tax commuter benefits
- 401(k)
- Significant equity
- Direct mentorship from experienced founders
- Ground-floor opportunity to help build a team and culture
- Regular team events and offsites
- Company-provided equipment and home office setup
About the Company
- Onos Health's mission is to ensure every healthcare dollar goes toward delivering the highest quality care by building the largest AI-driven healthcare data platform.
- Our models enable payers to make faster, more accurate decisions across their populations, guiding members to the right care and making healthcare more affordable.
- Onos is well-funded by leading healthcare investors and collaborates with the nation's largest health plans.
- Join a category-defining company to reimagine healthcare.
Equal Opportunity
- We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.