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Model Context Protocol Jobs in Connecticut (NOW HIRING)

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

$80 - $105/hr

Implement Model Context Protocol (MCP) servers that expose tools, resources, and prompts to LLM agents--enabling Claude and other agents to interface with internal and external data and services.

Gartner

Sr Data Scientist

Stamford, CT · On-site

Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools * Build user profiling and personalization models to ...

Gartner, Inc.

Sr Data Scientist

Stamford, CT · On-site

Design and implement Model Context Protocol (MCP) servers to enable seamless integration between AI agents, enterprise systems, and external tools * Build user profiling and personalization models to ...

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

Responsibilities : • Design, build, and maintain RESTful and GraphQL APIs that serve as the backbone of agentic workflow systems. • Implement Model Context Protocol (MCP) servers that expose ...

Gartner

Product Manager

Stamford, CT · On-site

Partner closely with SCRUM development and technical teams for the feasibility of product designs, particularly within Salesforce Sales and Service Clouds, REST APIs, and Model Context Protocol (MCP ...

Gemology Search

AI Implementation Engineer

New Britain, CT · Hybrid

$85K - $110K/yr

MCPs (Model Context Protocol) * n8n * APIs & Webhooks * AI Agents * Workflow Automation * Prompt Engineering * Low-code / No-code automation platforms Interview Process We're much more interested in ...

BMG360

Agentic Solutions Engineer

Shelton, CT · On-site

$130K/yr

Implement Model Context Protocol (MCP) servers that expose tools, resources, and prompts to LLM agents--enabling Claude and other agents to interface with internal and external data and services.

Deloitte

Customer Deployment Specialist

Hartford, CT

Experience with artificial intelligence/large language model platform features, including Skills, Model Context Protocol (MCP), Plugins, or partner-led delivery models involving systems integrators ...

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

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Model Context Protocol jobs near you
Infographic showing various Model Context Protocol job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Back End Engineer API & MCP Server On-site

Saransh Inc

Hartford, CT • On-site

Contractor

Re-posted 6 days ago

Job description

  • 13–15 years of software engineering experience, preferably in back-end and cloud-based environments.
  • Strong proficiency in Python, with experience in FastAPI and Pydantic.
  • Deep understanding of RESTful API design, versioning, and documentation.
  • Hands-on experience with AWS services: Lambda, API Gateway, ECS (Fargate or EC2-backed).
  • Practical experience with containerization using Docker or Podman.
  • Familiarity with CI/CD pipelines and Git-based workflows.
  • Strong understanding of microservices architecture and service orchestration.
  • Experience with asynchronous programming in Python (e.g., asyncio, aiohttp).
  • Exposure to infrastructure as code tools like Terraform or AWS CDK.
  • Experience with monitoring and logging (CloudWatch, Prometheus, Grafana).
  • Good understanding of API and cloud security best practices.

Additional Required Experience (as per latest guidelines):

  • Must have at least one hands-on implementation of a GenAI project.
  • Must have PoC/PoV experience with MCP (Model Context Protocol) or similar AI protocols for LLM integration.
  • Experience working on AI platform components or orchestration layers is a strong plus.
  • Bachelor’s degree in Computer Science, Engineering, or a related field.