Senior Software Development Engineer - R01569776

Primary Skills

• Azure Service Bus, Azure API Management, Azure Storage Queues, Azure Logic Apps, Azure AKS, Azure Content Delivery Network, Azure App Service, Azure Functions

Job requirements

With at least 2 to 4 years of hands-on experience in AI-powered healthcare solution development and Azure cloud engineering Design and develop AI-powered healthcare solutions leveraging large language models and Generative AI services to enhance member experiences  Build and enhance conversational healthcare assistants, implementing intelligent workflows for personalized member service journeys  Develop Retrieval-Augmented Generation (RAG) solutions, including semantic search, healthcare knowledge retrieval, and integration with vector databases and enterprise knowledge sources  Engineer and orchestrate AI agents for complex healthcare workflows, implementing multi-step reasoning, tool-calling patterns, and workflow automation  Enable healthcare member experience features such as provider search, facility search, symptom guidance, benefits and coverage guidance, cost estimation, claims status, and contact center escalation  Collaborate with AI architects and platform teams to implement AI Gateway integrations, LLM routing and orchestration, prompt management, transcript logging, observability, guardrails, and evaluation frameworks  Develop and optimize APIs, backend services, and chatbot interfaces, integrating AI models into web-based applications while ensuring performance, latency, and cost efficiency  Ensure AI solutions adhere to healthcare privacy requirements, implementing guardrails, monitoring, safety mechanisms, and supporting HIPAA and Responsible AI compliance  Node.js  TypeScript  Next.js  Microsoft Azure  Azure AI Services  Retrieval-Augmented Generation (RAG)  Vector database integration  Semantic search  API development  LLM orchestration  Knowledge graph engineering  Healthcare ontology modeling  Azure Service Bus  Azure API Management  Azure Storage Queues  Azure Logic Apps  Azure Kubernetes Service (AKS) Azure Content Delivery Network  Azure App Service  Azure Functions  Advanced prompt engineering  AI evaluation frameworks  Observability tools  Workflow automation with agentic architectures  Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a closely related discipline Microsoft Certified: Azure AI Engineer Associate  Certification in Responsible AI or HIPAA healthcare data privacy