Agentic AI Engineer (W2 Contract - LOCAL Profiles Only)

Senior Agentic AI Engineer

Working Location: Glendale AZ

Duration : 12 Months

Education and Experience Requirements

·       Bachelor's degree in Computer Science or a related field (Master's preferred) and 8+ years of relevant software engineering experience.

·       3+ years of hands-on experience developing Generative AI, machine learning, intelligent automation, or LLM-based applications, including substantial recent experience with Agentic AI.

·       Strong programming proficiency in Python; working knowledge of TypeScript/Node.js or a comparable language for application services.

·       Strong software engineering background with experience designing and deploying production-grade cloud applications.

·       Hands-on experience building Generative AI and RAG applications with Azure AI Foundry, Azure OpenAI, Azure AI Search, LLM APIs, embeddings, vector or hybrid search, knowledge retrieval, grounding, and citations.

·       Experience with Agentic AI frameworks such as Microsoft Agent Framework, Semantic Kernel, LangGraph, AutoGen, or comparable frameworks, including single-agent and multi-agent systems, tool calling, MCP-based tool integration, and human-in-the-loop controls.

·       Experience building natural language to SQL or conversational analytics solutions, including schema and metadata modeling, query generation, query validation, and grounding answers in retrieved data.

·       Experience designing or contributing to decision intelligence systems that combine AI, analytics, business context, and operational workflows to improve decision quality and business outcomes.

·       Experience evaluating and improving agent quality through prompt engineering, test datasets, LLM-based evaluation, safety checks, reasoning-quality assessment, and production feedback loops.

·       Strong knowledge of LLMOps, CI/CD, Docker and Kubernetes, observability, and production operations for AI applications.

·       Working knowledge of core Azure platform services: AKS or Azure Container Apps, Azure Functions, API Management, Entra ID, Key Vault, and Azure SQL or Cosmos DB.

·       Good understanding of RESTful APIs, asynchronous patterns, secure integrations, relational databases, SQL, SQL/NoSQL data stores, and data engineering or ETL pipelines.

·       Experience with enterprise-scale secure AI deployments, including identity, authorization, data privacy, compliance, and production monitoring.

·       Strong analytical, problem-solving, collaboration, and communication skills.

Preferred / Nice-to-Have

·       Experience with Microsoft Fabric, Azure Databricks, or Azure Data Factory for AI-ready data pipelines.

·       Exposure to Copilot Studio, Power Platform, or Teams-based agent experiences.

·       Experience with model fine-tuning (e.g., LoRA/QLoRA), prompt caching, and token/cost optimization at scale.

·       Supply chain domain knowledge (procurement, expediting, logistics, materials management) or familiarity with ERP data such as Oracle EBS or SAP.

·       Front-end experience with React and TypeScript for building agent-facing user interfaces.

·       Microsoft certifications such as Azure AI Engineer Associate (AI-102/AI-103) or Azure Solutions Architect (AZ-305).