ZipRecruiter

Log In

1

Model Context Protocol Jobs (NOW HIRING)

WEX

OR

$140.20K - $185.80K/yr

Protocol Integration: Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG to ensure interoperability between the platform and various LLM providers. Qualifications ...

eNett

OR

$140.20K - $185.80K/yr

Protocol Integration: Implement emerging standards like the Model Context Protocol (MCP) and Agentic RAG to ensure interoperability between the platform and various LLM providers. Qualifications ...

Anblicks

Senior AI Engineer

Dallas, TX

$103.80K - $142.60K/yr

Apply advanced prompt engineering and integrate Model Context Protocol (MCP) to connect AI agents with enterprise systems * Own the full AI project lifecycle from data ingestion and preprocessing ...

Merlin Solutions LLC

AI Security Architect

Plano, TX

$62.50 - $80.75/hr

Identify systemic risks in Model Context Protocol (MCP) interactions. * Develop architecture-level mitigations, segmentation strategies, and guardrail controls. * Recommend hardening controls for AI ...

Cynet Systems

Gen AI Developer

Nashville, TN

Experience with Model Context Protocol preferred. * Experience integrating AI solutions with CRM, ERP, eCommerce, EMR, or EHR platforms preferred. * Experience working with Agile methodologies and ...

Cynet Systems

AI Platform Architect

Nashville, TN

Experience with Model Context Protocol concepts preferred. * Experience with Agentic AI and autonomous systems preferred. * Experience integrating AI platforms with CRM, ERP, eCommerce, EMR, or EHR ...

next page

Showing results 1-20

People also search for

All JobsModel Context Protocol Jobs

Model Context Protocol information

See salary details

$10

$31

$67

How much do model context protocol jobs pay per hour?

As of May 31, 2026, the average hourly pay for model context protocol in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 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.

More about Model Context Protocol jobs
What cities are hiring for Model Context Protocol jobs? Cities with the most Model Context Protocol job openings:
What states have the most Model Context Protocol jobs? States with the most job openings for Model Context Protocol jobs include:
What job categories do people searching Model Context Protocol jobs look for? The top searched job categories for Model Context Protocol jobs are:
Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in the United States as of May 2026, with employment types broken down into 80% Full Time, 14% Part Time, 1% Temporary, and 5% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.
Context & Memory Engineer - Q126

Context & Memory Engineer - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 24 days ago

Job description

Overview:
Job Title: Context & Memory Engineer
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: An AI's output is only as good as the context it is grounded in. R2 Technologies is looking for a Context & Memory Engineer to build the connective tissue between our enterprise data and advanced language models. You will be responsible for ensuring our autonomous systems maintain persistent state, conversational continuity, and semantic understanding without compromising data security or speed.
Key Responsibilities: * Architect and maintain advanced Retrieval-Augmented Generation (RAG) pipelines that feed highly relevant, real-time enterprise context to foundation models.
  • Implement and manage stateful memory architectures for LLM agents using the Model Context Protocol (MCP) and long-term storage mechanisms.
  • Deploy, optimize, and tune Vector Databases (e.g., Pinecone, Qdrant, Milvus) and Graph Databases (e.g., Neo4j) to map complex semantic relationships and entity graphs.
  • Develop chunking, embedding, and re-ranking strategies to maximize the accuracy and relevance of context retrieved for the AI models.
  • Monitor token limits and optimize context window utilization to balance latency, cost, and reasoning quality.
  • Actively utilize AI-assisted development tools to accelerate the construction of data ingestion and semantic mapping pipelines.

Qualifications: * Up to 3 years of experience in Data Engineering, AI/ML Engineering, or Backend Development.
  • Strong proficiency in Python and familiarity with data orchestration pipelines.
  • Hands-on experience building RAG systems and working with frameworks like LlamaIndex or LangChain.
  • Experience deploying and querying Vector Databases and/or Knowledge Graphs.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Understanding of embedding models, semantic search techniques, and the nuances of LLM context windows (e.g., Claude's 200k+ context capabilities).

Skills:
mcp,rag

Apply