AI Engineer (ONLY W2- LOCAL TO CA)

•    At least four years of software engineering, AI/ML development, or related technical experience.
•    Hands-on experience developing and deploying AI/ML or intelligent automation solutions in production or near-production environments.
•    Microsoft Azure AI experience, including Azure AI Foundry, Azure OpenAI, and Azure AI Search.
•    Hands-on experience building and delivering agents in both Copilot Studio and Azure AI Foundry Agent Service.
•    Experience with Power Automate, Power Apps, and Dataverse integrations.
•    Strong understanding of generative AI, RAG, prompt engineering, vector databases, knowledge grounding, and orchestration patterns.
•    Strong Python development experience.
•    Experience with LangGraph, LangChain, and OpenAI or Azure OpenAI SDKs.
•    Experience developing and integrating APIs and REST services.
•    Familiarity with MuleSoft, Azure API Management, or Microsoft Graph connectors.
•    Working knowledge of AI gateways, Model Context Protocol, agent interoperability, and tool orchestration.
•    Experience with Git, GitHub Copilot, Visual Studio Code, CI/CD pipelines, testing, debugging, and modern DevOps practices.
•    Understanding of AI security, data privacy, responsible AI, regulatory compliance, and AI FinOps.
•    Strong communication, collaboration, analytical thinking, and problem-solving skills.
•    Bachelor’s degree in Computer Science, Information Systems, Software Engineering, or a related technical discipline.

Nice to Have 

·                  Microsoft Azure AI Engineer Associate certification

·                  Microsoft Power Platform Developer Associate certification

·                  Microsoft Azure Developer Associate certification

·                  Computer vision experience with Azure AI Vision, Azure AI Video Indexer, or OpenCV

·                  Experience with AutoGen or other multi-agent orchestration frameworks

·                  Exposure to LLMOps tooling and production lifecycle management

Retail technology experience, particularly within store operations, customer experience, supply chain, or merchandising

(Nice to Haves)