Onos Health

Healthcare

SeniorSoftwareEngineer(AI)

$180–240k San Francisco, California, United States FULL TIME Remote Friendly
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

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