Agentic AI Engineer: Scalable LLM Orchestration on Azure

Ensisinfo Inc; California; Remote; USD 120,000 - 180,000; Full time

Job summary

Ensisinfo Inc is seeking an AI / Agentic Engineer in Carmichael, CA to architect and build intelligent agentic AI systems using MCP frameworks, .NET/Python, and Azure PaaS. You will design backend services and AI pipelines, integrate LLMs, and orchestrate multi-agent workflows to automate real-world tasks.

You will collaborate across teams, iterate on use cases, and ensure performance, reliability, and safety of AI systems in a fast-paced environment.

Qualifications

• Hands-on experience with agentic AI frameworks MCP, AutoGen, LangGraph or similar.
• Proficiency in .NET (C#) and/or Python for backend and AI service development.
• Strong experience with Azure PaaS services including Azure OpenAI, Azure AI Studio, or Azure Functions.
• Solid understanding of LLMs, prompt engineering, and AI orchestration patterns.
• Experience building RESTful APIs and integrating third-party AI/ML services.
• Familiarity with cloud-native architecture, CI/CD pipelines, and DevOps best practices.
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Responsibilities

• Design, develop, and deploy agentic AI solutions using Model Context Protocol (MCP) frameworks
• Build and maintain backend services and AI pipelines using .NET and/or Python
• Architect and implement scalable solutions on Azure PaaS (Azure OpenAI, Azure Functions, Azure AI Studio, etc.)
• Develop multi-agent orchestration workflows and autonomous AI task execution systems
• Integrate LLMs and AI models into enterprise applications via APIs and agentic toolchains
• Collaborate with cross-functional teams to define AI use cases and translate them into technical solutions
• Monitor, evaluate, and optimize AI agent performance, reliability, and safety

Skills

Agentic AI

MCP

AutoGen

LangGraph

.NET

Python

Azure

Azure OpenAI

Azure Functions

LLMs

Prompt engineering

API integration

Cloud-native architecture

Tools

Azure PaaS

Azure OpenAI

Azure Functions

RESTful APIs

CI/CD pipelines

DevOps practices

Job description

Ensisinfo Inc is seeking an AI / Agentic Engineer in Carmichael, CA to architect and build intelligent agentic AI systems using MCP frameworks, .NET/Python, and Azure PaaS. You will design backend services and AI pipelines, integrate LLMs, and orchestrate multi-agent workflows to automate real-world tasks.

You will collaborate across teams, iterate on use cases, and ensure performance, reliability, and safety of AI systems in a fast-paced environment.