•Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent practical experience.
•Experience building AI-powered workflows using Azure AI Foundry, Copilot Studio and/or Now Assist.
•3–5 years of experience in software or cloud engineering
•Exposure to AI agent orchestration or multi-agent systems
•Hands-on experience with Microsoft Azure services (Azure AI, Azure Functions, Logic Apps, Cognitive Services)
•Familiarity with retrieval-augmented generation (RAG) or vector database integration.
•Experience working with multiple LLMs (OpenAI GPT, Azure OpenAI, Gemini), prompt engineering, and AI-driven automation.
•Proficient in Python, C#, or JavaScript/Type Script
•3-5 years’ experience working in SaaS or enterprise environments.
•Familiar with CI/CD pipelines, Git, and cloud deployment practices.
•Understanding of healthcare data formats (HL7, FHIR) is a strong plus.
•Strong problem-solving skills and eagerness to learn in a fast-moving environment.