Required Skills & Experience
5-10+ years in software engineering with strong Python (async, typing, packaging, testing) and API development.
2-4+ years building GenAI/LLM solutions (Azure OpenAl/Foundry), including prompt engineering, tool/function calling, and retrieval patterns. (Learning/Docs alignment via Microsoft Learn & internal enablement.)
Hands-on with Azure services used in Al apps: Azure Al Foundry, Azure OpenAI, Azure Al Search, Azure Functions, Key Vault, Event Grid/Service Bus, Storage, App Service/Container Apps.
Practical experience with agentic frameworks (e.g., Semantic Kernel, LangGraph, or AutoGen).
Familiarity with vector databases, embeddings, chunking strategies, and evaluation/guardrail techniques.
Proficiency with Git, DevOps pipelines, and observability (App insights/Log Analytics)
Nice to Have
Experience with PCF/Power Platform extensions to surface agents in business apps, or Teams/Copilot Studio action integration when relevant to the use case. (Enterprise agent go-to-market references.)
Exposure to prompt flow, evaluation harnesses, A/B testing, and model benchmarking in Foundry.
Knowledge of RAI tooling (e.g., NeMo Guardrails or platform safety configs) and enterprise Al compliance processes. I
Education & Certifications
Bachelor's in Computer Science/Engineering (or equivalent experience).
Certifications (nice-to-have): Azure Al Engineer/Developer, Azure Data/Architect, PL-400/PL-600 (if working adjacent to Dynamics/Power Platform).
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