3.0 - 5.0 years

0 Lacs

Bengaluru / Bangalore, Karnataka, India

On-site

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. Design and develop cloud-native enterprise software products and services, focusing on distributed, scalable, fault-tolerant, and multi-tenant cloud services for healthcare applications using FHIR and LLM-based models for natural language processing (NLP). . Build FHIR-compliant integrations with Oracle Health's healthcare data systems, ensuring adherence to FHIR standards in data exchange, patient record management, and clinical workflows, while integrating LLMs to provide contextual insights and automated processing of clinical data. . Develop healthcare cloud applications following microservices and twelve-factor application principles, optimizing for data integration with FHIR-based services and LLMs for advanced text-based analysis and healthcare recommendations. . Focus on API-first design using OpenAPI, Swagger, and test-driven development, ensuring integration with FHIR-based healthcare data through RESTful APIs, and leveraging LLMs for real-time patient data analytics. . Code in Java, leveraging RESTful APIs, microservices, Docker, and Kubernetes, with integration into healthcare data systems at Oracle Health that use FHIR, and incorporating LLMs for scalable NLP tasks, such as summarizing patient information or automating documentation. . Work with prominent healthcare APIs and other systems like AWS, Microsoft Azure, GCP, and Salesforce to facilitate healthcare data exchange, with programming languages like Java, Go, Python, JavaScript, and NodeJS, integrating AI-driven solutions and LLMs for intelligent data extraction. . Implement message interchange formats such as JSON/JSON Schema, XML, Avro, and FHIR resources, while integrating LLM-based AI models to enhance decision-making, predictive analytics, and patient engagement. . Collaborate with JavaScript frameworks like OJET, ReactJS, and AngularJS to create dynamic, healthcare-driven user interfaces, integrating with FHIR-based patient data systems and enhancing user experience with LLM-driven insights and contextual support. . Provide technical evaluations, optimize applications, and implement best practices in developing cloud-native healthcare applications with FHIR and LLM capabilities for Oracle Health. . Create reusable solutions that can accelerate the creation of healthcare applications using FHIR and LLMs, streamlining the integration with EHR and clinical systems, and delivering smarter healthcare insights. Design and Development: Create and implement scalable, multi-tenant cloud services on Oracle Cloud Infrastructure (OCI) tailored for Oracle Health. Integration: Develop and integrate healthcare systems using FHIR standards to ensure smooth data exchange in clinical workflows. Cloud-Native Applications: Build cloud-native applications and ensure compliance with FHIR standards for healthcare integrations. Decision-Making and Analytics: Leverage large language models (LLMs) and AI-driven solutions to enhance decision-making processes, predictive analytics, and automation in healthcare. API Development: Design and develop RESTful APIs to facilitate seamless integration and interaction with various healthcare data formats. Microservices Architecture: Implement and maintain a robust microservices architecture to support scalable and efficient cloud services. Collaborative Efforts: Work closely with cross-functional teams to create reusable, FHIR-based solutions focusing on healthcare interoperability and AI integration. Operational Excellence: Monitor, operate, and maintain cloud services to ensure optimal performance, reliability, and scalability. Compliance and Standards: Ensure all cloud services and integrations comply with industry standards and regulations, particularly in healthcare. Career Level - IC3

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