Senior Software Development Engineer - R01569776

Brillio 2

Bengaluru

On-site

INR 2,500,000 - 4,500,000

Full time

14 days+

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Job summary

Brillio 2 in Bengaluru is seeking a Senior Software Development Engineer to design and build AI-powered healthcare solutions using Azure and large language models. You will develop and optimize APIs, chat interfaces, and RAG-based workflows, ensuring performance, privacy, and cost efficiency in production.

You will collaborate with AI architects and platform teams to implement AI Gateways, LLM routing, prompt management, and observability, while delivering secure, HIPAA-aligned solutions for

Qualifications

  • Bachelor's degree in CS/IT/SE or related field required.
  • Microsoft Azure AI Engineer Associate and privacy/HIPAA certifications preferred.

Responsibilities

  • Design and develop AI-powered healthcare solutions leveraging large language models and Generative AI services.
  • Build and enhance conversational healthcare assistants and intelligent workflows for member journeys.
  • Develop Retrieval-Augmented Generation (RAG) solutions with semantic search and vector databases.
  • Engineer and orchestrate AI agents for complex healthcare workflows with multi-step reasoning and tool-calling patterns.
  • Enable provider/search, symptom guidance, and claims status features in member experiences.
  • Collaborate with AI architects and platform teams on AI Gateway integrations, LLM routing, and observability.
  • Develop and optimize APIs and backend services, integrating AI models into web apps with performance and cost awareness.
  • Ensure HIPAA privacy compliance with guardrails, monitoring, and safety mechanisms.

Skills

Node.js
TypeScript
Next.js
Microsoft Azure
Azure AI Services
Retrieval-Augmented Generation (RAG)
Vector database integration
Semantic search
API development
LLM orchestration

Education

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

Tools

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

Job description

Senior Software Development Engineer

Azure Service Bus, Azure API Management, Azure Storage Queues, Azure Logic Apps, Azure AKS, Azure Content Delivery Network, Azure App Service, Azure Functions

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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