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Model Context Protocol Jobs in Spring, TX (NOW HIRING)

Senior AI Engineer

Houston, TX · On-site

$120 - $180/hr

Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols * Strong proficiency with cloud environments, preferably Google Cloud Platform (GCP); experience with AWS or ...

New

Agentic AI Engineer

Houston, TX · On-site

$103.15 - $158.59/hr

Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns Evaluation, Observability & Production Operations * Establish agent ...

Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns Evaluation, Observability & Production Operations * Establish agent ...

Standardize how agents access enterprise data through Model Context Protocol (MCP) servers and equivalent integration patterns Evaluation, Observability & Production Operations * Establish agent ...

Azure OpenAI Azure AI Foundry Azure AI Search Microsoft Copilot Studio Semantic Kernel Vector Databases RAG (Retrieval-Augmented Generation) Semantic Search Agentic AI MCP (Model Context Protocol ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

AI Trainer - Remote

Houston, TX · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

... Model Context Protocol) Essential Duties and Responsibilities • Design, develop, deploy, and maintain AI solutions using Python and/or .NET. • Build AI agents using Microsoft Copilot Studio or ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

AI Engineer - Remote

Houston, TX · Remote

$80 - $120/hr

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

... Model Context Protocol (MCP) tools. You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase ...

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Model Context Protocol information

See Spring, TX salary details

$9

$27

$59

How much do model context protocol jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for model context protocol in Spring, TX is $27.91, according to ZipRecruiter salary data. Most workers in this role earn between $16.92 and $34.86 per hour, depending on experience, location, and employer.

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 job categories do people searching Model Context Protocol jobs in Spring, TX look for?

The top searched job categories for Model Context Protocol jobs in Spring, TX are:

What cities near Spring, TX are hiring for Model Context Protocol jobs?

Cities near Spring, TX with the most Model Context Protocol job openings:

Senior AI Engineer

Jobtailor

Houston, TX • On-site

$120 - $180/hr

Other

Posted 2 days ago

New


Job description

  • Design, develop, deploy, and maintain AI agents and software solutions that enhance supply chain operations and technology
  • Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build enterprise AI agents
  • Incorporate software engineering, DevOps, and cybersecurity best practices, including CI/CD pipelines, source control, and secure coding standards
  • Design and develop, or collaborate with data engineering teams to build, data models and pipelines supporting AI solutions
  • Develop AI agent software and system integrations using Python, SQL, Flask, and FastAPI
  • Build scalable and portable AI solutions using Docker and Kubernetes
  • Partner with business and product stakeholders to understand requirements, identify opportunities, and educate teams on AI capabilities and best practices
  • Collaborate with infrastructure, Information Security, and data engineering teams to define requirements and integrate AI solutions
  • Communicate project status, risks, and opportunities with leadership and key stakeholders
  • Own projects from concept through production deployment with minimal supervision
  • Mentor junior engineers through code reviews, pair programming, technical coaching, and architectural guidance
  • Stay current on emerging AI technologies and contribute to the organization’s AI strategy and roadmap
Requirements
  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, Engineering, or a related field, or equivalent experience
  • 3 to 5 years of experience in software engineering, AI/ML engineering, or data science
  • At least 1 year focused on agentic AI development
  • Hands-on experience with AI agent development frameworks such as Google's Agent Development Kit or OpenAI Agents SDK
  • Knowledge of Model Context Protocol (MCP) and Agent-to-Agent (A2A) communication protocols
  • Strong proficiency with cloud environments, preferably Google Cloud Platform (GCP); experience with AWS or Azure also considered
  • Advanced experience with Python, APIs, SQL, system design, DevOps/AIOps practices
  • Familiarity with JavaScript and modern frontend technologies
  • Experience monitoring, troubleshooting, and optimizing production AI and software solutions
  • Strong analytical, problem-solving, and decision-making skills
  • Ability to manage multiple priorities and thrive in a fast‑paced, innovative environment
  • Experience with advanced AI techniques, including fine‑tuning large language models and developing custom AI algorithms
  • Familiarity with logistics, supply chain, warehouse management, or transportation management systems
  • Experience with Snowflake and related data platforms
  • Hands‑on experience with GCP Vertex AI Agent Builder
  • Experience deploying enterprise‑scale AI solutions in production environments
  • Background supporting AI governance, model evaluation, and responsible AI initiatives
  • All applicants who receive a conditional offer of employment may be required to take and pass a pre‑employment drug test
Core Competencies

Demonstrates expertise in AI agent development, software engineering, and cloud environments, with a strong focus on Python, SQL, and DevOps practices. Capable of collaborating with cross‑functional teams to design and deploy scalable AI solutions while adhering to best practices in cybersecurity and software development.

Highest-signal resume keywords
  • AI Agent Development
  • Python Programming
  • Cloud Environments (GCP, AWS, Azure)
  • DevOps Practices
  • Data Engineering Collaboration
Hard Skills
  • Python
  • SQL
  • Flask
  • FastAPI
  • Docker
  • Kubernetes
  • AI/ML Engineering
  • APIs
  • Model Context Protocol (MCP)
  • Agent Development Frameworks
Soft Skills
  • Analytical Skills
  • Problem‑Solving
  • Decision‑Making
  • Project Management
  • Mentoring
Industry Keywords
  • Supply Chain
  • Logistics
  • Warehouse Management
  • Transportation Management
  • AI Governance
Tools & Technologies
  • Google Cloud Platform (GCP)
  • AWS
  • Azure
  • Snowflake
  • GCP Vertex AI Agent Builder
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