Onos Health
Healthcare
SeniorSoftwareEngineer(AI)
“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.
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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