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