You will lead the development of LLM and NLU systems that transform unstructured clinical notes into actionable insights. By automating clinical assessments and level-of-care recommendations, you will help major US health plans eliminate administrative waste. This role offers the opportunity to shape the core AI infrastructure of a high-growth, mission-driven startup.
Staff Software Engineer (AI) at Onos Health
Onos Health is revolutionizing behavioral health by building the largest AI-driven healthcare data platform. Backed by $6.3M from Haystack and Pathlight Ventures, they are solving the $300B problem of healthcare waste by ensuring every dollar goes toward quality care. As a Staff AI Engineer, you will take ownership of building sophisticated LLM systems to automate clinical assessments and level-of-care recommendations for the nation’s largest health plans. Working directly with experienced founders in San Francisco, you’ll enjoy significant equity, high autonomy, and the chance to shape the core infrastructure of a category-defining company on a mission to fix a fundamentally broken industry.
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Location
San Francisco, United States
Compensation
$200k-$275k + Equity
Company
Onos Health
Role overview
Onos Health is a privately held healthcare AI company that provides a clinical intelligence platform for payers and health plans to minimize waste, streamline operations, and improve healthcare outcomes. The company focuses on behavioral health by helping health plans harness artificial intelligence to distinguish necessary from wasteful care, guide members to the right clinical pathways, and stratify providers by quality of care delivered. By targeting behavioral health programs specifically, Onos Health aims to reduce administrative waste, optimize behavioral‑health care pathways, and elevate the quality and efficiency of care delivery across payer-managed mental and behavioral health populations.
What you will do
- Develop and operationalize LLM systems to extract evidence from medical records and classify patient levels of care with high reliability.
- Establish benchmarking and evaluation frameworks to ensure the accuracy, maintainability, and transparency of clinical decision-making models.
- Design and scale data pipelines on AWS that handle complex medical standards while maintaining strict HIPAA-compliant privacy and security.
Who this is a fit for
- Brings 5+ years of experience building production-grade backend or data engineering systems, preferably within high-growth startup environments.
- Demonstrates deep expertise in developing LLM-based applications for processing unstructured industry-specific documents and integrating them with user features.
- Maintains a collaborative, generalist mindset, comfortably switching between high-level AI strategy and hands-on Python/Django backend development.
Why this role is remarkable
- Impact: Tackle the 30% waste in U.S. healthcare spending by ensuring patients receive high-quality, appropriate care through automated clinical intelligence.
- High-Caliber Team: Work directly with experienced founders, including a CTO with a Stanford MS in ML and a CEO from mPulse Mobile.
- Early Ownership: As a staff-level hire in a 20-person team, you will have significant autonomy to define AI best practices and model governance.
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