Senior Software Engineer (AI)

Onos Health•San Francisco, CA

9d•$180,000 - $240,000•Hybrid

About The Position

Onos Health is seeking an experienced AI/ML engineer to join their team. The company's mission is to ensure every healthcare dollar is used for high-quality care by building an AI-driven behavioral healthcare platform. This platform helps payers make better decisions and guides members to the right care, making healthcare more affordable. Onos Health is well-funded and collaborates with major health plans. This role offers the opportunity to be part of a category-defining company and contribute to reimagining healthcare.

Requirements

4+ 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.
Experience with document AI, OCR, or extracting data from visual/scanned content (charts, graphs, tables).
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 best-in-class models 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.
Own and evolve our LLM evaluation harness, regression gates, and observability to ensure our systems catch accuracy regressions before they reach payers and prove the platform's reliability over time.
Extract structured data from visually complex clinical documents, including scanned charts, tables, and graphs using a mix of OCR, multimodal models, and classical ML.
Collaborate with backend engineers to integrate AI/ML capabilities seamlessly into the Onos platform.
Build and operationalize AI/data pipelines to analyze medical records to streamline clinical assessments and healthcare quality reviews.
Benchmark and stress-test LLM systems so evidence extraction and level-of-care classification stay accurate and reliable as criteria, documents, and models change.
Develop and optimize a system that ingests complex medical standards of care documents and evaluates provider adherence to guidelines.
Design explainable AI solutions that provide transparency into model decisions for healthcare professionals.

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