Onos Health

Healthcare

SeniorSoftwareEngineer(AI)

$180–240k San Francisco, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer (AI) at Onos Health. Skills: AI/ML engineer, LLM/NLU systems, Document AI, OCR, Data pipelines, MLOps. Making the core Onos Health AI extraction and evaluation systems accurate, consistent, and trustworthy enough for health plans to depend on. 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”

What You'll Achieve.

Ensure every healthcare dollar goes toward delivering the highest quality care; Make faster, more accurate decisions across their populations; Guiding members to the right care; Channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable; Ensure excellent outcomes for our enterprise customers; Prove the platform's reliability over time; Deliver measurable results

Industry & Context.

Healthcare

What They're Looking For.

Must Have

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 Have

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

What You'll Do.

Making the core Onos Health AI extraction and evaluation systems accurate

and trustworthy enough for health plans to depend on

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

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

and graphs using a mix of OCR

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

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

How You'll Work.

Team & Collaboration

Collaborate with backend engineers to integrate AI/ML capabilities seamlessly into the Onos platform; A collaborative team player

Full Job Description

ABOUT ONOS HEALTH Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers. Onos is addressing this by building the largest AI-driven behavioral healthcare platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable. Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better. WHY ONOS? - Meaningful impact: Help fix what is fundamentally broken in healthcare - Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise - Culture: Join a high-performing, transparent, and results-oriented team - Ownership: Significant responsibility and autonomy from day one - Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company THE ROLE We're seeking an experienced AI/ML engineer who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll be responsible for making the core Onos Health AI extraction and evaluation systems accurate, consistent, and trustworthy enough for health plans to depend on. As an early team member, you'll be expected to wear multiple hats and ensure excellent outcomes for our enterprise customers. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 2-3 times a week. WHAT YOU'LL BE DOING AT ONOS: - Develop LLM/NLU systems to process and extract meaningful information from clinical notes and medical documents, classify patie

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