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Brillio

Senior Software Development Engineer - R01569776

Bangalore, Karnataka, IndiaEmployeePosted Aug 13, 2026
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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