Why This Role Stands Out
This hybrid role offers a fantastic opportunity to drive innovation in AI/Agentic solutions, leveraging your expertise in Python, RAG, and Azure to build scalable data pipelines and orchestrate complex workflows. You'll thrive here if you're a seasoned AI/ML Engineer with a passion for problem-solving and a knack for designing robust, enterprise-level AI platforms, so apply today to shape the future of AI at McKinsol Consulting Inc.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Los Angeles, CA, United States
Posted
21 hours ago
MongoDBETLMachine LearningAgileAzurePython
Job Description
AI/Agentic Solutions Engineer
Key Responsibilities:
Bring up and stabilize MCP connectivity by coordinating with development teams, troubleshooting issues, and analyzing/debugging logs.
Design and implement solutions for CIF/Denial data ingestion from multiple source systems, ensuring scalable and efficient data integration.
Build and manage data pipelines across multiple environments, including provisioning dedicated VMs, configuring infrastructure, and automating data movement processes.
Develop and enhance RAG/MCP-based AI solutions and orchestrate end-to-end workflows for enterprise use cases.
Collaborate with stakeholders on architecture, solution design, deployment, and operationalization of AI-driven platforms.
Northridge / CA - California
Key Responsibilities:
Bring up and stabilize MCP connectivity by coordinating with development teams, troubleshooting issues, and analyzing/debugging logs.
Design and implement solutions for CIF/Denial data ingestion from multiple source systems, ensuring scalable and efficient data integration.
Build and manage data pipelines across multiple environments, including provisioning dedicated VMs, configuring infrastructure, and automating data movement processes.
Develop and enhance RAG/MCP-based AI solutions and orchestrate end-to-end workflows for enterprise use cases.
Collaborate with stakeholders on architecture, solution design, deployment, and operationalization of AI-driven platforms.
Required Skills:
AI Agent/Agentic Workflow Development and Agent Creation
Strong Python Programming
MCP and 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, Troubleshooting, and Log Analysis
Role Descriptions: Senior AI/ML Engineer
Essential Skills: Senior AI/ML Engineer
AI Agent/Agentic Workflow Development and Agent Creation
Strong Python Programming
MCP and 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, Troubleshooting, and Log Analysis
Role Descriptions: Senior AI/ML Engineer
Essential Skills: Senior AI/ML Engineer
Desirable Skills:
Keyword:
Skills: Agile Way of Working~Digital : Mongo DB~Digital : Azure Machine Learning (ML)~AI Agents
Experience Required: 10 & Above
Keyword:
Skills: Agile Way of Working~Digital : Mongo DB~Digital : Azure Machine Learning (ML)~AI Agents
Experience Required: 10 & Above
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