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Metro location plus generic SDE title increases applicant density despite niche healthcare AI specialization.
Strong healthcare-specific requirements (HIPAA, ontology modeling, provider search) reduce cross-industry transferability.
Multiple mandatory Azure, AI, RAG, vector DB, and HIPAA/healthcare requirements create strict filtering.
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Design and develop AI-powered healthcare solutions with focus on large language models and generative AI to improve member experiences.
Build and implement conversational healthcare assistants and intelligent workflows for personalized member service journeys.
Develop advanced AI solutions including Retrieval-Augmented Generation, semantic search, AI agents with multi-step reasoning, and integrate with healthcare knowledge sources and enterprise APIs.
2 to 4 years of hands-on experience in AI-powered healthcare solution development and Azure cloud engineering.
Mandatory skills: Node.js, TypeScript, Next.js, Microsoft Azure, Azure AI Services, RAG, vector database integration, semantic search, API development, LLM orchestration.
Bachelor's degree in Computer Science, IT, Software Engineering, or related discipline.
Preferred Microsoft Azure AI Engineer Associate certification and knowledge of Responsible AI or HIPAA healthcare data privacy compliance.
Experienced in building enterprise-grade AI healthcare applications with strong Microsoft Azure cloud platform expertise.
Comfortable working with complex AI workflows involving multi-step reasoning, intelligent agents, and integrating multiple AI and backend services.
Familiar with healthcare domain constraints including privacy (HIPAA) and compliance, and capable of implementing robust guardrails and monitoring.