Staff Software Engineer (AI)

Responsibilities

• Develop LLM/NLU systems to extract information from clinical notes and medical documents, classify patients by level of care, and generate recommendations.
• Establish best practices, benchmarking and evaluation frameworks, and model governance for reliable, maintainable, and scalable AI systems.
• Build and operationalize scalable data pipelines for analyzing medical records while maintaining privacy and security standards.
• Collaborate with backend engineers to integrate AI/ML capabilities into the Onos platform.
• Develop systems that ingest medical standards of care and evaluate provider adherence to guidelines.
• Design explainable AI solutions that provide transparency into model decisions for healthcare professionals.

Requirements

• 5+ years of experience building and deploying production applications in a backend engineering or data engineering capacity.
• Experience developing LLM-based systems for ingesting and evaluating unstructured, industry-specific records and integrating them with user-facing features.
• Deep understanding of LLM limitations and best practices for producing reliable, consistent, and accurate outputs.
• Strong collaboration skills and a focus on customer outcomes and measurable results.
• Preferred experience evaluating medical records against assessment or authorization criteria.
• Preferred experience as a generalist backend engineer working across multiple responsibilities.
• Preferred experience with data pipelines, Python, and related data science or ML libraries.
• Preferred significant healthcare-data experience and HIPAA best practices knowledge.
• Preferred knowledge of modern LLM/ML infrastructure and MLOps best practices.

Benefits

• Flexible hybrid arrangement with 2-3 days per week at the San Francisco Financial District office and a remote-first culture.
• Unlimited vacation, paid parental leave, medical, dental, and vision insurance.
• Pre-tax commuter benefits, 401(k), significant equity, and company-provided equipment and home office setup.
• Direct mentorship from experienced founders, team-building opportunities, and regular team events and offsites.