Key Responsibilities & Skills
Agentic AI Solution Design
Autonomous Reasoning & Planning
AI-driven Business Process Automation
Workflow Orchestration & Process Automation
Retrieval-Augmented Generation (RAG) Architecture
AI Governance & Security
Large Language Model (LLM) Integration
Prompt Engineering & Tool Calling
Multi-agent System Development
Healthcare AI Application
Technical Skills
.NET / C# / Python
LangGraph / LangChain / AutoGen / CrewAI / MCP
Azure Cloud / GCP
Azure OpenAI / OpenAI APIs / Anthropic / Google Gemini
Vector Database: Pinecone / Weaviate / Chroma / Azure AI Search / Elasticsearch
Docker / Kubernetes
Azure Functions / Cloud Run
CI/CD Pipelines
API Integration
Observability & Monitoring
Education
Bachelor's Degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, Machine Learning. Preferred: Master's in Computer Science, Master's in AI, Master's in Machine Learning, Master's in Data Science, PhD in Computer Science, PhD in Artificial Intelligence.
Industry Experience
Healthcare
AI / Machine Learning
Cloud Computing (Azure/GCP)
Enterprise Software
Insurance
SaaS Platforms
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