Senior Software Development Engineer - R01569776

Team: Digital Engineering : Digital Engineering

Location: Bangalore, Karnataka, India

Commitment: Employee

Workplace Type: hybrid

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