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Senior Software Development Engineer - R01569776

๐Ÿ“… Aug 13
Node.jsTypeScriptNext.jsMicrosoft Azure
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๐Ÿ“œ Description

  • Design AI-powered healthcare solutions using large language models and Generative AI.
  • Build conversational healthcare assistants and personalized member-service workflows.
  • Develop RAG solutions with semantic search, healthcare knowledge retrieval, vector databases, and enterprise sources.
  • Engineer AI agents for multi-step reasoning, tool calling, and workflow automation.
  • Implement member features including provider and facility search, symptom and benefits guidance, cost estimates, claims status, and contact-center escalation.
  • Integrate AI models into APIs, backend services, and chatbot interfaces; support observability, guardrails, evaluation, performance, and healthcare privacy compliance.

๐Ÿ› ๏ธ 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
  • Microsoft Azure
Full job description
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
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