Agentic AI MCP Engineer

Accord Technologies Inc; Charlotte (NC); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Accord Technologies Inc in Charlotte, NC seeks an experienced Agentic AI MCP Engineer to design, develop, and deploy intelligent AI agents using Model Context Protocol (MCP). Hybrid work with onsite from day 1 and three days from office.

The role focuses on MCP architecture, LLM integrations, RAG, and enterprise governance for scalable AI solutions. Responsibilities include building multi-agent workflows, integrating LLMs with enterprise systems, and ensuring security and observability.

Qualifications

• 5+ years of software engineering experience with at least 2+ years focused on Generative AI and Agentic AI development.
• Strong expertise in Python programming and API development.
• Hands-on experience with Model Context Protocol (MCP) implementations and integrations.
• Experience working with AI orchestration frameworks including LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Strong knowledge of Large Language Models (LLMs) such as OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, Llama, or Mistral.
• Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases.
• Knowledge of embeddings, semantic search, prompt engineering, and AI evaluation techniques.
• Experience integrating AI solutions with enterprise systems, REST APIs, cloud services, and databases.
• Strong understanding of AI governance, security, monitoring, and compliance best practices.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Excellent communication and collaboration skills with the ability to work across cross-functional teams.

Responsibilities

• Design, develop, and deploy Agentic AI solutions leveraging Model Context Protocol (MCP) architecture.
• Build and manage MCP servers, tools, resources, prompts, and enterprise integrations.
• Develop multi-agent workflows and autonomous AI systems capable of planning, reasoning, and executing business processes.
• Integrate Large Language Models (LLMs) with enterprise applications, APIs, databases, and third-party platforms.
• Implement Retrieval-Augmented Generation (RAG), vector search, and knowledge retrieval capabilities.
• Develop and optimize AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Create secure, scalable, and production-ready AI solutions following enterprise governance standards.
• Collaborate with business stakeholders, architects, data engineers, and product teams to deliver AI-driven solutions.
• Monitor, evaluate, and improve agent performance, response quality, and operational efficiency.
• Support AI observability, security, compliance, and responsible AI initiatives across enterprise environments.

Skills

Python

API development

MCP implementations

LLMs knowledge

RAG

Vector databases

Embeddings

Semantic search

Prompt engineering

AI governance & security

Cloud platforms (AWS/Azure/GCP)

Rest APIs & enterprise integrations

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Pinecone

Weaviate

Chroma

FAISS

Milvus

Job description

Agentic AI MCP Engineer

Charlotte, NC (Need Onsite day 1, hybrid 3 days from office)

We are seeking an experienced Agentic AI MCP Engineer to design, develop, and deploy intelligent AI agents using the Model Context Protocol (MCP).

The Role

Responsibilities

• Design, develop, and deploy Agentic AI solutions leveraging Model Context Protocol (MCP) architecture.
• Build and manage MCP servers, tools, resources, prompts, and enterprise integrations.
• Develop multi-agent workflows and autonomous AI systems capable of planning, reasoning, and executing business processes.
• Integrate Large Language Models (LLMs) with enterprise applications, APIs, databases, and third-party platforms.
• Implement Retrieval-Augmented Generation (RAG), vector search, and knowledge retrieval capabilities.
• Develop and optimize AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Create secure, scalable, and production-ready AI solutions following enterprise governance standards.
• Collaborate with business stakeholders, architects, data engineers, and product teams to deliver AI-driven solutions.
• Monitor, evaluate, and improve agent performance, response quality, and operational efficiency.
• Support AI observability, security, compliance, and responsible AI initiatives across enterprise environments.

Requirements

• 5+ years of software engineering experience with at least 2+ years focused on Generative AI and Agentic AI development.
• Strong expertise in Python programming and API development.
• Hands-on experience with Model Context Protocol (MCP) implementations and integrations.
• Experience working with AI orchestration frameworks including LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Strong knowledge of Large Language Models (LLMs) such as OpenAI GPT, Azure OpenAI, Anthropic Claude, Gemini, Llama, or Mistral.
• Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases.
• Knowledge of embeddings, semantic search, prompt engineering, and AI evaluation techniques.
• Experience integrating AI solutions with enterprise systems, REST APIs, cloud services, and databases.
• Strong understanding of AI governance, security, monitoring, and compliance best practices.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Excellent communication and collaboration skills with the ability to work across cross-functional teams.

Preferred, But Not Required

• Experience building enterprise-scale multi-agent ecosystems.
• Knowledge of AI workflow orchestration, event-driven architectures, and agent lifecycle management.
• Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, or Milvus.
• Exposure to MLOps, AI observability, and production monitoring frameworks.
• Financial Services, Banking, or Capital Markets domain experience.
• Relevant certifications in Artificial Intelligence, Cloud Platforms, or Data Engineering.
• Experience working within Agile/Scrum development environments.