ZipRecruiter

Log In

1

Model Context Protocol Jobs in Washington, DC (NOW HIRING)

Integral

Agentic Engineer

Tysons Corner, VA

$90K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources. * Move beyond prototypes by building rigorous evaluation ...

Integral

Agentic Engineer

Tysons, VA · On-site

$90K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Implement and leverage the Model Context Protocol (MCP) to seamlessly connect our AI models with external tools, APIs, and data sources. * Move beyond prototypes by building rigorous evaluation ...

The Nuclear Company

Senior Platform Engineer

Washington, DC · On-site

$117K - $161K/yr

Help structure NOS data and design the Model Context Protocol interfaces that let AI agents read and act on platform data safely. • Partner across the squad. Work with data scientists, AI/ML ...

next page

Showing results 1-20

All JobsModel Context Protocol JobsModel Context Protocol Jobs in Washington, DC

Model Context Protocol information

See Washington, DC salary details

$11

$35

$75

How much do model context protocol jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for model context protocol in Washington, DC is $35.53, according to ZipRecruiter salary data. Most workers in this role earn between $21.49 and $44.38 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 are popular job titles related to Model Context Protocol jobs in Washington, DC?

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

What job categories do people searching Model Context Protocol jobs in Washington, DC look for?

The top searched job categories for Model Context Protocol jobs in Washington, DC are:

Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $73,897 per year, or $35.5 per hour.

Generative AI Engineer/Architect-REmote

HRC Global Services

Reston, VA • Remote

Full-time

Re-posted 29 days ago

Job description

We're looking for a Generative Al Engineer to architect and build next-generation Al products powered by large language models (LLMs), agent frameworks, and agentic pipelines. The role emphasizes building reliable, context-aware systems using Model Context Protocol (MCP) to manage and standardize model context, inputs, and tool interactions across agentic workflows.

Key responsibilities

* Design, prototype, and productionize LLM-based features and conversational agents using modern LLM APIs and frameworks.

* Implement and enforce MCP (Model,Context Protocol) patterns to structure prompts, context windows, tool calls, and metadata for consistent multi-turn and cross-tool behavior.

* Build and orchestrate agentic systems (planners, executors, tool chains) that integrate LLMs with external APis, knowledge bases, and tooling.

* Develop retrieval-augmented generation (RAG) pipelines, embeddings, and document indexing; manage vector DB integrations.

* Create evaluation pipelines and prompt engineering experiments; measure hallucination rates, factuality, latency, and

cost.

* Design and implement safety, guardrails, and monitoring: content filtering, adversarial testing, rate limits, and alerting for model failure modes.

* Optimize inference cost and latency across providers and on-prem hosts (quantized models, batching, caching).

* Build CI/CD and reproducible workflows for model versions, prompt artifacts, and MCP schema migrations; document

MCP conventions and laternal best practices.

Required qualifications

* 3+ years ML engineering or applied Al experience, with 1-2+ years working directly with LLMs and generative systems.

* Hands-on experience with LLM APls and agent frameworks (eg, LangChain, Llamaindex, Haystack, or equivalent).

* Practical experience implementing or following a Model Context Protocol (MCP) - structuring context, metadata, prompt templates, tool interfaces, and context stitching across sessions.

* Strona Pvthon engineerina skills: experience buildina production-arade microservices and APIs.