Staff Software Engineer (AI)

Onos Health•San Francisco, CA

1d•$200,000 - $275,000•Hybrid

About The Position

Onos Health is seeking an experienced and highly capable AI engineer to join their team. The role involves developing a significant part of the Onos platform, including models for assessing the level of appropriate care for patients. As an early team member, the engineer will be expected to wear multiple hats, including acting as a backend/data engineer, while ensuring excellent outcomes for customers. The position is hybrid, based in San Francisco, requiring 2-3 days per week in the office.

Requirements

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 Haves

Specifically worked with medical records to evaluate whether a patient’s history meets criteria for evaluations or assessments (e.g., claims authorization or other types of evaluations)
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

Responsibilities

Develop LLM/NLU systems to process and extract meaningful information from clinical notes and medical documents, classify patients according to level-of-care guidelines, and make accurate recommendations
Establish best practices for LLM/AI systems, benchmarking/evaluation frameworks, and model governance to improve reliability, maintainability, and scalability
Build data pipelines that scale efficiently while maintaining strict data privacy and security standards
Collaborate with backend engineers to integrate AI/ML capabilities seamlessly into the Onos platform

Benefits

Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District), remote-first culture
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