Python MCP Connector Engineer (Integrations)

Hybrid in Johns Creek, GA, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

SOFTWARE DEVELOPMENT
PYTHON
API
MCP
MODEL CONTEXT PROTOCOL
GRAPHQL
JSON
REST
LLM
LANGCHAIN
AI
AI AGENT

Summary

We are seeking a skilled Python MCP Connector Engineer to design, build, and maintain Model Context Protocol (MCP) connectors that enable seamless integration between AI systems and various external services, APIs, and data sources. This role requires both strong software engineering skills and a deep understanding of AI agent architectures.

Key Responsibilities

Design and develop MCP server implementations that expose resources, tools, and prompts to AI clients
Build secure, efficient connectors to integrate with relational databases, APIs, enterprise systems, and third-party services
Implement protocol handlers following MCP specifications for client-server communication
Create reusable connector templates and frameworks to accelerate future integrations
Write comprehensive documentation for connector usage, configuration, and deployment
Ensure connectors handle authentication, rate limiting, error handling, and retry logic appropriately
Optimize connector performance for low-latency AI interactions
Collaborate with AI engineers to understand context requirements and tool capabilities
Maintain and update existing connectors as APIs and protocols evolve
Write unit tests and integration tests for connector reliability

Required Qualifications

5+ years of software development experience
Strong proficiency in Python, Node, or other modern programming languages
Experience building RESTful APIs and working with various API protocols (REST, GraphQL)
Understanding of JSON-RPC or similar RPC protocols
Solid grasp of authentication mechanisms (OAuth, API keys, JWT)
Experience with async/await patterns and concurrent programming
Knowledge of SDK development and library design patterns
Familiarity with version control (Git) and CI/CD pipelines

Preferred Qualifications

Experience with the Model Context Protocol (MCP) specification
Background working with LLM applications or AI agent frameworks (LangChain, FastMCP, etc.)
Understanding of AI context windows and prompt engineering
Experience with database systems (PostgreSQL, MongoDB, etc.)
Knowledge of containerization (Docker) and cloud deployment
Familiarity with security best practices for API integrations
Experience with infrastructure as code and configuration management
Experience working with Collaboration Platforms such as CoPilot, Teams, Slack, and Google

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91132164
Position Id: 26-00023
Posted 1 day ago

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Python MCP Connector Engineer (Integrations)

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Job Details

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