Senior Software Development Engineer 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 Experience Range: • With at least 2 to 4 years of hands-on experience in AI-powered healthcare solution development and Azure cloud engineering Key Responsibilities: • 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 Required Skills: • Node.js • TypeScript • Next.js • Microsoft Azure • Azure AI Services • Retrieval-Augmented Generation (RAG) • Vector database integration • Semantic search • API development • LLM orchestration Preferred Skills: • 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 Desired Qualifications: • 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