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