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, perks 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

📌 Senior Software Development Engineer776 (Bengaluru)
🏢 brillio-2
📍 Bengaluru