Autonomous AI MCP Engineer for Agentic Systems

Synechron; Charlotte (NC); On-site; USD 120,000 - 130,000; Full time

Benefits offered by this job

Competitive pay

Global offices and potential to workab

Paid time off

Maternity & paternity leave

Insurance plan

Retirement plan

Education reimbursement

Commuter benefits

Training opportunities

Udemy for Business

Job summary

Synechron, a global consulting firm delivering digital solutions, seeks an experienced Agentic AI MCP Engineer to design, develop, and deploy autonomous AI agents using the Model Context Protocol. The role requires hands-on work with MCP implementations, multi-agent architectures, LLM-powered apps, and cloud-native Python development.

Based in Charlotte, NC, you will collaborate with stakeholders across the enterprise, advance AI governance and security, and implement Retrieval-Augmented

Qualifications

• 5+ years of software engineering with at least 2+ years focused on Generative AI and Agentic AI development.
• Strong Python programming and API development experience.
• Hands-on experience with Model Context Protocol (MCP) implementations and integrations.
• Experience 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, 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

Generative AI

AI orchestration

MCP

LLMs

REST APIs

Cloud platforms

Tools

LangChain

LangGraph

CrewAI

AutoGen

Semantic Kernel

Vector databases

Job description

Synechron, a global consulting firm delivering digital solutions, seeks an experienced Agentic AI MCP Engineer to design, develop, and deploy autonomous AI agents using the Model Context Protocol. The role requires hands-on work with MCP implementations, multi-agent architectures, LLM-powered apps, and cloud-native Python development.

Based in Charlotte, NC, you will collaborate with stakeholders across the enterprise, advance AI governance and security, and implement Retrieval-Augmented