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Model Context Protocol Jobs in Washington (NOW HIRING)

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 ...

Hatch IT

Principal Engineer, API & MCP Platform

Reston, VA · On-site +1

$220K - $250K/yr

You will lead the design and implementation of semantic APIs, Model Context Protocol (MCP) integrations, and context-aware service patterns that power next-generation intelligence workflows. This ...

eSimplicity

Senior Systems Engineer

Columbia, MD · On-site

$149K - $175K/yr

Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures. * Ability to analyze business, customer, or mission ...

eSimplicity

Senior Systems Engineer

Columbia, MD · On-site

$149K - $175K/yr

Experience designing and implementing Model Context Protocol (MCP) integrations, tool interfaces, or model-driven service architectures. * Ability to analyze business, customer, or mission ...

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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.

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Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in Washington as of July 2026, with employment types broken down into 78% Full Time, 18% Part Time, 1% Temporary, and 3% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Generative AI Engineer/Architect-REmote

HRC Global Services

Reston, VA • Remote

Full-time

Posted 7 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.