AI/Agentic Solutions Engineer

AI/Agentic Solutions Engineer - Key Skills Location: Northridge, CADuration: 6 MonthsExperience: 10+ Years Role Summary Senior AI/ML Engineer focused on AI/Agentic solutions. Develop and implement enterprise AI platforms and workflows. Work with MCP, RAG, data integration, and AI agent technologies. Key Responsibilities Bring up and stabilize MCP connectivity. Coordinate with development teams to troubleshoot MCP issues. Analyze and debug application and infrastructure logs. Design and implement CIF/Denial data ingestion from multiple source systems. Build scalable and efficient data integration solutions. Develop and manage data pipelines across multiple environments. Provision and configure dedicated VMs and infrastructure. Automate data movement and processing workflows. Develop and enhance RAG/MCP-based AI solutions. Create and manage AI agents and agentic workflows. Orchestrate end-to-end workflows for enterprise use cases. Collaborate with stakeholders on:ArchitectureSolution designDeploymentOperationalization of AI platforms Required Skills AI Agent / Agentic Workflow DevelopmentAI Agent CreationStrong Python ProgrammingMCP DevelopmentRAG Pipeline DevelopmentWorkflow and Process OrchestrationSolution Architecture and DesignMongoDB Development and Data ManagementAzure Cloud Services and InfrastructureData Integration and ETL Pipeline DevelopmentDebugging and TroubleshootingLog Analysis Desirable Skills Agile Way of WorkingMongoDBAzure Machine Learning (Azure ML)AI AgentsGenerative AI / LLM TechnologiesCloud Infrastructure and Deployment Keywords AI/ML EngineerAI AgentsAgentic AIMCPRAGPythonMongoDBAzureAzure MLETLData PipelinesWorkflow OrchestrationSolution ArchitectureLog AnalysisTroubleshooting