Artificial Intelligence Engineer with Microsoft Azure AI experience (ONLY W2) - Local to Bay Area CA

Top Requirements

(Must haves)

• At least five 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.

Additional Qualifications

(Nice to Haves)

• 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