Software Engineer II

Curana Health

. Design, develop, and deploy intelligent AI solutions for senior healthcare .

Posted 10/5/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI solutions in healthcare, with strong proficiency in Python and data engineering skills. Capable of integrating AI with EHR systems while ensuring compliance with HIPAA and healthcare data standards.

Highest-signal resume keywords

AI Solution DevelopmentPython ProficiencyData Engineering SkillsEHR Integration KnowledgeHIPAA Compliance Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI DevelopmentPythonScikit-learnTensorFlowPyTorchSQLPandasETL FrameworksLLMsLangChain

Soft Skills

Analytical AbilitiesProblem-SolvingCommunication Skills

Tools & Technologies

Azure ML SDKAzure MonitorApplication InsightsAzure Services

Certifications & Qualifications

Cloud Certifications in AI/MLArchitecture Certifications

Industry Keywords

HealthcareLife SciencesFHIRHL7EHR IntegrationPHIPIIHealth InformaticsPublic Health

Tech Stack

Tools & technologies

AzureCloudETLPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, develop, and deploy intelligent AI solutions for senior healthcare
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 AI model accuracy, scalability, and compliance with regulatory standards
Collaborate with cross-functional teams to translate business needs into technical solutions
Maintain strict adherence to HIPAA and healthcare data security requirements

Requirements

What you’ll need

2–5+ years of AI and software engineering 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, including SQL, Pandas, and ETL frameworks
Hands-on experience with LLMs and agentic frameworks such as LangChain, LangGraph, and LlamaIndex
Familiarity with Azure services is a plus
Knowledge of healthcare data standards such as FHIR and HL7 and EHR integration is a plus
Understanding of HIPAA and secure handling of PHI/PII is a plus
Experience with observability tools such as Azure Monitor and Application Insights
Cloud certifications in AI/ML or architecture are a plus
Education or experience in health informatics or public health
Strong analytical and problem-solving abilities
Excellent communication skills for working with non-technical stakeholders
Must be able to work in the United States; visa sponsorship is unavailable

Benefits

Comp & perks

Equal Employment Opportunity commitment and nondiscrimination policy
No visa sponsorship is provided