Staff Software Engineer (AI)

The role

You will develop LLM/NLU systems to process clinical notes and medical documents. You will also build scalable data pipelines and integrate AI/ML capabilities into the Onos platform.

What you will do

• Develop LLM/NLU systems to process and extract information from clinical notes and medical documents
• Classify patients according to level-of-care guidelines and make recommendations
• Establish best practices for LLM/AI systems, benchmarking/evaluation frameworks, and model governance
• Build data pipelines that scale efficiently while maintaining data privacy and security standards
• Collaborate with backend engineers to integrate AI/ML capabilities into the platform
• Build and operationalize AI/data pipelines to analyze medical records
• Benchmark LLM systems to extract evidence from medical records
• Develop and optimize a system that ingests medical standards of care documents
• Design explainable AI solutions

Required qualifications

• 5+ years experience building and deploying applications in production in a backend engineering / data engineering capacity
• Relevant experience with 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 the limitations of using LLMs and the best practices for using them for reliable, consistent, and accurate outputs
• Customer obsessed and motivated to build a best-in-class model for behavioral health clinical assessments in the healthcare space
• A collaborative team player with a focus on delivering measurable results

Nice to have

• Specifically worked with medical records to evaluate whether a patient’s history meets criteria for evaluations or assessments
• 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 with HIPAA best practices
• Knowledge of modern LLM and ML infrastructure and MLOps best practices

Benefits

• Flexible hybrid arrangement: 2-3 days/week at San Francisco office
• Unlimited vacation policy
• Paid parental leave
• Medical, dental, and vision insurance
• Pre-tax commuter benefits
• 401(k)
• Significant equity as an early employee
• 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 is building an AI-driven healthcare data platform to ensure healthcare dollars go toward high-quality care. The company is well-funded and works with the nation's largest health plans.