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Onos Health
Onos Health
11 – 50 Angajați
Asigurare de sănătateAsistență medicalăInteligență artificială
Onos Health dezvoltă soluții de inteligență clinică bazate pe inteligență artificială pentru plătitorii din domeniul sănătății comportamentale. Platforma sa transformă dosarele clinice nestructurate, inclusiv notele de ședință, planurile de tratament și evaluările, în informații utile pentru susținerea calității clinice, gestionarea utilizării serviciilor, integritatea programelor și administrarea rețelelor de furnizori. Soluțiile companiei acoperă sănătatea comportamentală la niveluri variate de îngrijire, precum analiza comportamentală aplicată (ABA), tratamentul tulburărilor asociate consumului de substanțe, problemele de sănătate mintală ușoare până la moderate și bolile mintale severe, în contexte de spitalizare, tratament rezidențial, PHP/IOP și îngrijire ambulatorie. Onos Health combină implementarea axată pe nevoile plătitorilor, securitatea la nivel de întreprindere și practici responsabile de inteligență artificială, printr-o echipă care activează la intersecția dintre asistența medicală, asigurările de sănătate și inteligența artificială.
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Locurile de muncă ale companiei

Staff AI Software Engineer at Onos Health

Lead AI engineering for Onos Health’s healthcare data platform by building LLM systems, clinical assessment models, scalable pipelines, and explainable recommendations.

USStatele Unite ale AmericiiCACalifornia
200.000 $ – 275.000 $ / an
HibridNormă întreagăLiderLimbă Obligatorie: englezăInginer AIInginer de învățare automată
AWSDjangoDockerPostgresPython

Descriere

  • Create LLM and natural language understanding systems that process and extract insights from clinical notes and medical documents
  • Classify patients against level-of-care guidelines and produce accurate recommendations
  • Define engineering practices for LLM and AI systems, evaluation and benchmarking frameworks, and model governance
  • Develop scalable data pipelines that uphold rigorous privacy and security requirements
  • Partner with backend engineers to integrate AI and machine learning capabilities into the Onos platform
  • Build and operate AI and data pipelines that analyze medical records and improve clinical assessments and healthcare quality reviews
  • Evaluate LLM performance in extracting evidence from medical records and assigning level-of-care recommendations
  • Develop and refine systems that ingest medical standards-of-care documents and assess provider adherence to guidelines
  • Create explainable AI solutions that clarify model decisions for healthcare professionals
  • Own a substantial area of the Onos platform while contributing across backend and data engineering as an early team member

Cerințe

  • At least five years of experience building and deploying production applications in backend or data engineering roles
  • Experience developing LLM-based systems that ingest and evaluate unstructured, industry-specific records and connect to user-facing features
  • Strong understanding of LLM limitations and techniques for producing reliable, consistent, and accurate outputs
  • Customer-focused mindset with motivation to build a high-quality behavioral health clinical assessment model
  • Collaborative approach with an emphasis on delivering measurable outcomes
  • Hands-on experience using medical records to determine whether patient histories satisfy evaluation or assessment criteria, such as claims authorization
  • Background as a generalist backend engineer who can work across multiple responsibilities
  • Experience building data pipelines with Python and related data science or machine learning libraries
  • Substantial experience handling healthcare data and applying HIPAA best practices
  • Knowledge of current LLM and machine learning infrastructure and MLOps practices
  • Experience with AWS services including ECS, Bedrock, and Cognito
  • Experience using Docker
  • Experience with GitHub Actions
  • Experience with Python, Django, Celery, django-ninja, and django-tenants
  • Experience with PostgreSQL on AWS RDS and S3
  • Familiarity with GitHub, Jira, CodeRabbitAI, Tusk, and Claude
  • ],

Beneficii

  • Flexible hybrid schedule with two to three days per week in the San Francisco Financial District office and a remote-first culture
  • Unlimited vacation
  • Paid parental leave
  • Medical, dental, and vision insurance
  • Pre-tax commuter benefits
  • 401(k) plan
  • Meaningful equity for an early employee
  • Direct mentorship from experienced founders
  • Opportunity to help shape the team and company culture from an early stage
  • Regular team events and offsites
  • Company-provided equipment and home office setup

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