Required skills and experience
Excellent Python skills and hands-on experience
Experience in AI application development, with focus on cloud-based AI model integration, deployment, and optimization.
Experience with AI/ML and agentic application frameworks such as LangChain, LangGraph, Pydantic
Proficiency in advanced AI architecture patterns, including RAG, Agentic RAG, MCP, Function Calling, and A2A, especially in an Azure environment
Good understanding of GPT token usage, latency analytics, and budget guardrails.
Sound understanding of AI guardrails, prompt fuzzing, adversarial testing, and bias testing.
Experience in prompt engineering, context engineering, vector databases, embedding and chunking strategies, and Real Time data integration.
Experience evaluating model output and optimizing AI application performance.
Hands-on experience with Azure Cloud Services for AI, including Azure OpenAI and Azure AI Search.
Strong commitment to quality, maintainability, documentation, and continuous learning.