AI/Agentic Solutions Engineer

AI/Agentic Solutions Engineer - Key Skills

• Location: Northridge, CA
• Duration: 6 Months
• Experience: 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:

• Architecture

• Solution design

• Deployment

• Operationalization of AI platforms

Required Skills

• AI Agent / Agentic Workflow Development
• AI Agent Creation
• Strong Python Programming
• MCP Development
• RAG Pipeline Development
• Workflow and Process Orchestration
• Solution Architecture and Design
• MongoDB Development and Data Management
• Azure Cloud Services and Infrastructure
• Data Integration and ETL Pipeline Development
• Debugging and Troubleshooting
• Log Analysis

Desirable Skills

• Agile Way of Working
• MongoDB
• Azure Machine Learning (Azure ML)
• AI Agents
• Generative AI / LLM Technologies
• Cloud Infrastructure and Deployment

Keywords

• AI/ML Engineer
• AI Agents
• Agentic AI
• MCP
• RAG
• Python
• MongoDB
• Azure
• Azure ML
• ETL
• Data Pipelines
• Workflow Orchestration
• Solution Architecture
• Log Analysis
• Troubleshooting