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

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