Software Engineer II

Posted Yesterday
Hiring Remotely in US
Remote
Mid level
Healthtech
The Role
Design, develop, and deploy AI solutions that improve senior healthcare delivery, automate scheduling and care-management workflows, integrate with EHR and resident-management systems, and support clinical decision-making. The role involves healthcare data analysis, LLM and agentic application development, model monitoring and optimization, regulatory compliance, and collaboration with clinicians and operations teams. Strong skills in Python, machine learning frameworks, data engineering, Azure ML, and healthcare data security are required.
Summary Generated by Built In
 

At Curana Health, we're on a mission to radically improve the health, happiness, and dignity of older adults—and we're looking for passionate people to help us do it.


As a national leader in value-based care, we offer senior living communities and skilled nursing facilities a wide range of solutions (including on-site primary care services, Accountable Care Organizations, and Medicare Advantage Special Needs Plans) proven to enhance health outcomes, streamline operations, and create new financial opportunities.


Founded in 2021, we've grown quickly—now serving 200,000+ seniors in 1,500+ communities across 32 states. Our team includes more than 1,000 clinicians alongside care coordinators, analysts, operators, and professionals from all backgrounds, all working together to deliver high-quality, proactive solutions for senior living operators and those they care for.


Ranked #147 on the Inc. 5000 list of America's fastest-growing private companies, we're just getting started. If you're looking to make a meaningful impact on the senior healthcare landscape, you're in the right place—and we look forward to working with you.


For more information about our company, visit CuranaHealth.com.

Summary

We’re looking for an experienced AI Software Engineer II to design, develop, and deploy intelligent solutions that transform care delivery, streamline operations, and enhance resident experiences in senior healthcare settings.


You’ll work closely with clinicians and operations teams to build AI-driven tools that automate processes, provide AI-driven recommendations, and support personalized care.

Essential Duties & Responsibilities
  • Build and deploy AI solutions that reduce administrative burden, elevate care management, and balance patient demand with staffing availability.
  • Implement intelligent automation for scheduling, care plan updates, and post-visit tasks.
  • Integrate AI solutions with existing EHR and resident management systems.
  • Analyze structured and unstructured healthcare data to uncover trends and improve clinical decision-making.
  • Continuously monitor, optimize, and ensure compliance of AI models for accuracy, scalability, and regulatory standards.
  • Collaborate with cross-functional teams to translate business needs into technical solutions.
  • Maintain strict adherence to HIPAA and healthcare data security requirements.
Qualifications

Required Qualifications

  • 2–5+ years of AI & SWE experience, ideally in healthcare or life sciences.
  • Proficiency in Python and frameworks such as Scikit-learn, TensorFlow, or PyTorch; experience with Azure ML SDK.
  • Strong data engineering skills (SQL, Pandas, ETL frameworks).
  • Hands-on experience with LLMs and agentic frameworks (LangChain, LangGraph, LlamaIndex).

Preferred Qualifications

  • Familiarity with Azure services (Azure Machine Learning, Azure AI Foundry, Cognitive Services) is a plus.
  • Knowledge of healthcare data standards (FHIR, HL7) and EHR integration is a plus.
  • Solid understanding of HIPAA and secure handling of PHI/PII is a plus.
  • Experience with observability tools (Azure Monitor, Application Insights).
  • Cloud certifications (Azure, AWS, GCP) in AI/ML or architecture.
  • Education or experience in health informatics or public health.

Soft Skills

  • Strong analytical and problem-solving abilities.
  • Excellent communication skills for working with non-technical stakeholders.
  • Passion for leveraging technology to improve senior care.


We’re thrilled to announce that Curana Health has been named the 147th fastest growing, privately owned company in the nation on Inc. magazine’s prestigious Inc. 5000 list. Curana also ranked 16th in the “Healthcare & Medical” industry category and 21st in Texas.


This recognition underscores Curana Health’s impact in transforming senior housing by supporting operator stability and ensuring seniors receive the high-quality care they deserve.

Skills Required

  • 2-5+ years of experience in artificial intelligence and software engineering, ideally in healthcare or life sciences
  • Proficiency in Python and machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
  • Experience with Azure ML SDK
  • Strong data engineering skills, including SQL, Pandas, and ETL frameworks
  • Hands-on experience with large language models and agentic frameworks such as LangChain, LangGraph, or LlamaIndex
  • Familiarity with Azure Machine Learning, Azure AI Foundry, and Cognitive Services
  • Knowledge of healthcare data standards including FHIR and HL7, and EHR integration
  • Understanding of HIPAA and secure handling of PHI and PII
  • Experience with Azure Monitor and Application Insights
  • Cloud certification in AI, machine learning, or architecture from Azure, AWS, or GCP
  • Education or experience in health informatics or public health
  • Strong analytical and problem-solving abilities
  • Excellent communication skills for working with non-technical stakeholders
  • Passion for using technology to improve senior care
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The Company
HQ: Austin, TX
1,382 Employees
Year Founded: 2021

What We Do

Curana Health is a national value-based healthcare company focused on senior housing residents. It provides compassionate, coordinated, on-site primary care, health insurance plans, Accountable Care Organization (ACO) services, and Medicare Advantage Special Needs Plans. Its model combines clinicians, care teams, technology, analytics, and operator partnerships to improve health outcomes, reduce preventable hospitalizations, support aging in place, and help senior living communities deliver more effective care.

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