Senior Software Development Engineer - R01569776

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