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Model Context Protocol Jobs in Phoenix, AZ (NOW HIRING)

... 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 Engineer - Remote

Phoenix, AZ · 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 ...

Architect Model Context Protocol (MCP) integrations connecting AI agents to internal tools, data sources, and platform services * Lead improvements to development and operations of an increasingly ...

Principal Software Engineer - Remote

Scottsdale, AZ · On-site +1

$134K - $180K/yr

Architect Model Context Protocol integrations that give AI agents secure, governed access to internal APIs, data sources, and platform services across teams. * Standards and simplification: Drive ...

Build and configure Model Context Protocol (MCP) integrations that connect AI agents to internal tools, data sources, and platform services * Revitalize services and architectures that have outlasted ...

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Model Context Protocol (MCP) * BDD Frameworks * TestNG * TestX * Java * API Automation experience * Git and CI/CD knowledge Responsibilities * Design and develop automated test frameworks using ...

Senior AI Engineer

Phoenix, AZ · On-site

$103K - $142K/yr

... Model Context Protocol (MCP) - building MCP servers or tools for models to call · Experience in healthcare or another highly regulated, security-sensitive industry. Healthcare experience is not ...

AI Engineer

Phoenix, AZ · On-site

$120 - $180/hr

MCP (Model Context Protocol) server integrations as part of our broader AI stack WHAT WE NEED Required: * 2+ years building production software with Python or Node.js * Hands‑on experience with ...

Design and implement LLM-powered agentic workflows using LangChain, LangGraph, and EP's internal MCP (Model Context Protocol) server architecture. * Build multi-step reasoning pipelines, tool-calling ...

Design and implement LLM-powered agentic workflows using LangChain, LangGraph, and EP's internal MCP (Model Context Protocol) server architecture. * Build multi-step reasoning pipelines, tool-calling ...

Senior AI/ML Engineer

Phoenix, AZ · On-site +1

$98K - $135K/yr

The Senior AI/ML Engineer will serve as the technical authority for AI/ML platforms, agent architecture, Model Context Protocol (MCP) strategy, context engineering, orchestration, governance, and AI ...

Solution Architect

Scottsdale, AZ · Remote

$170K - $190K/yr

Designs and ships AI product features end to end, including model API integration, agent orchestration, retrieval augmented generation, structured tool use, and the Model Context Protocol (MCP) for ...

New

Designs and ships AI product features end to end, including model API integration, agent orchestration, retrieval augmented generation, structured tool use, and the Model Context Protocol (MCP) for ...

New

Showing results 21-40

Model Context Protocol information

See Phoenix, AZ salary details

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How much do model context protocol jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for model context protocol in Phoenix, AZ is $31.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.85 and $38.89 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.

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What cities near Phoenix, AZ are hiring for Model Context Protocol jobs?

Cities near Phoenix, AZ with the most Model Context Protocol job openings:

Infographic showing various Model Context Protocol job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,783 per year, or $31.1 per hour.

AI coding agents Expert - Remote

YO AI Labs

Phoenix, AZ • Remote

$80 - $120/hr

Full-time

Posted 7 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.