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Model Context Protocol Jobs in Missouri (NOW HIRING)

Strong foundational knowledge of Large Language Models (LLMs), retrieval-augmented generation (RAG), MCP (Model Context Protocol) orchestration patterns, and the inherent security risks associated ...

AI Software Engineer

Dearborn, MO · On-site

$110 - $150/hr

Build and maintain Model Context Protocol (MCP) servers to bridge the gap between LLMs and our proprietary marketing data silos securely and in real-time. * Develop High-Concurrency Backends: Develop ...

AI Automation Engineer

California, MO · On-site

$150 - $190/hr

AI Integration Partner closely with the AI Integration and Data teams to expand the AI "brain"--extending data access and connectivity via MCP (Model Context Protocol) and connecting to additional ...

(USA) Staff, Software Engineer

Noel, MO · On-site

$110K - $220K/yr

Exposure to Anthropic ecosystem concepts such as Model Context Protocol (MCP) , Claude Code , Claude Agent SDK , tool use, agentic workflows, context management, and human-in-the-loop AI automation.

Exposure to Anthropic ecosystem concepts such as Model Context Protocol (MCP) , Claude Code , Claude Agent SDK , tool use, agentic workflows, context management, and human-in-the-loop AI automation.

Exposure to Anthropic ecosystem concepts such as Model Context Protocol (MCP) , Claude Code , Claude Agent SDK , tool use, agentic workflows, context management, and human-in-the-loop AI automation.

$80K - $110K/yr

Hands-on experience with MCP (Model Context Protocol) or comparable approaches for connecting AI systems to enterprise tools and data is a plus. * Experience with LLM evaluation, AI observability ...

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Developer Advocate

California, MO · On-site

$120 - $170/hr

Working knowledge of AI development techniques, tools, and frameworks, including Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), Agent Skills, LangChain, and LangGraph. * Ability ...

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Model Context Protocol information

What is the difference between Model Context Protocol vs Data Analyst?

AspectModel Context ProtocolData Analyst
Required CredentialsKnowledge of data modeling, API protocols, and software developmentBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTechnical teams, software development, AI/ML projectsBusiness intelligence, reporting, data visualization
Industry UsageTech, AI, software developmentFinance, marketing, healthcare, business
Search & Comparison IntentUnderstanding technical protocols for AI modelsAnalyzing data for insights and decision-making

The Model Context Protocol focuses on technical data exchange and AI model integration, requiring programming and API knowledge. In contrast, Data Analysts interpret data to generate reports and insights, often working with business tools. Both roles involve data but serve different functions within organizations.

What are popular job titles related to Model Context Protocol jobs in Missouri?

For Model Context Protocol jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Model Context Protocol jobs in Missouri look for?

The top searched job categories for Model Context Protocol jobs in Missouri are:

What cities in Missouri are hiring for Model Context Protocol jobs?

Cities in Missouri with the most Model Context Protocol job openings:

Infographic showing various Model Context Protocol job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Principal Architect with AI Native Engineer

Mergen IT LLC

Saint Louis, MO • On-site

Other

Posted 17 days ago


Job description

Role- Principal Architect with AI Native Engineer

Location - St. Louis, MO (Onsite)

Contract

Preferred Qualification

  • Experience building AI-native engineering organizations.
  • Exposure to MCP (Model Context Protocol) architectures and agent ecosystems.
  • Experience with AI Foundry, Bedrock, OpenAI, Anthropic, or similar AI platforms.
  • Experience implementing enterprise developer platforms and internal engineering products.
  • Strong understanding of AI governance and responsible AI frameworks. 

Technical Skills

  • Deep understanding of: Software Engineering, Cloud Native Architecture, API Management, Microservices, DevOps & Platform Engineering
  • Experience with: GitHub Copilot, Claude Code CLI, AI-assisted development platforms, LLM integrations, Agentic systems, AI orchestration frameworks
  • Strong knowledge of AWS enterprise cloud platform

Key Expectations

  • To focus on leveraging technologies such as GitHub Copilot, Claude Code CLI, Model Context Protocol (MCP), AI Agents, Developer Platforms, and Enterprise API Integration frameworks to fundamentally redefine how software is designed, built, tested, deployed, and operated.
  • This role aligns with emerging AI-native development models that emphasize agentic workflows, AI-assisted coding, MCP-enabled integrations, and rapid prototyping