Software Engineer II

Posted Oct 6

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Create, develop, and implement advanced AI solutions tailored for senior healthcare.

β€’ Develop and deploy AI solutions that alleviate administrative tasks, enhance care management, and align patient demand with staffing resources.

β€’ Apply intelligent automation for scheduling, updating care plans, and handling post-visit activities.

β€’ Integrate AI solutions seamlessly with current EHR and resident management systems.

β€’ Examine both structured and unstructured healthcare data to identify trends and enhance clinical decision-making.

β€’ Consistently monitor, refine, and ensure the accuracy, scalability, and compliance of AI models with regulatory standards.

β€’ Work collaboratively with cross-functional teams to convert business requirements into technical implementations.

β€’ Uphold strict compliance with HIPAA and healthcare data security regulations.


⛳️ Requirements

β€’ 2–5+ years of experience in AI and software engineering, preferably within healthcare or life sciences.

β€’ Proficient in Python and familiar with frameworks such as Scikit-learn, TensorFlow, or PyTorch.

β€’ Experience with Azure ML SDK is essential.

β€’ Strong data engineering expertise, including skills in SQL, Pandas, and ETL frameworks.

β€’ Practical experience with LLMs and agentic frameworks such as LangChain, LangGraph, and LlamaIndex.

β€’ Familiarity with Azure services would be advantageous.

β€’ Knowledge of healthcare data standards like FHIR and HL7, along with EHR integration, is beneficial.

β€’ Understanding of HIPAA and secure management of PHI/PII is a plus.

β€’ Experience with monitoring tools such as Azure Monitor and Application Insights is desirable.

β€’ Cloud certifications in AI/ML or architecture are a plus.

β€’ Education or experience in health informatics or public health is preferred.

β€’ Strong analytical and problem-solving skills are required.

β€’ Excellent communication abilities for interacting with non-technical stakeholders are necessary.

β€’ Must be eligible to work in the United States; visa sponsorship is not available.


🏝️ Benefits

β€’ Commitment to Equal Employment Opportunity and a nondiscrimination policy.

β€’ No visa sponsorship is offered.

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