Senior Python Developer for MCP Connector Development

marlabs • United State
Relocation
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AI Summary

We are seeking a skilled MCP Connector Developer to design, build, and maintain Model Context Protocol connectors. This role requires strong software engineering skills and a deep understanding of AI agent architectures. Applicants must have 8+ years of software development experience and strong proficiency in Python.

Key Highlights
Design and develop MCP server implementations
Build secure and efficient connectors to integrate with databases and APIs
Collaborate with AI engineers to understand context requirements
Key Responsibilities
Design and develop MCP server implementations that expose resources to AI clients
Implement protocol handlers following MCP specifications for client-server communication
Maintain and update existing connectors
Technical Skills Required
Python Node.js RESTful APIs GraphQL JSON-RPC Git Docker VS Code Testing frameworks (pytest, Jest) Authentication flows
Benefits & Perks
Day 1 onset
Opportunity for relocation
Relocation package provided
Nice to Have
Experience with the Model Context Protocol (MCP) specification
Background working with LLM applications or AI agent frameworks

Job Description


Senior Python Developer

Location: - Atlanta, GA

Duration: 12-Months


Need a Python Developer. MCP Connector working experience is not mandatory, but some knowledge will help.

Locals have the preference, but relocation will work as long as they are ok to be onsite Day 1

MCP Integration Developer


Overview

We are seeking a skilled MCP Connector Developer 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

8+ 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.)


Technical Skills

- Languages: Python, TypeScript/JavaScript, Node.js

- Protocols: JSON-RPC, REST, GraphQL, SSE (Server-Sent Events)

- Tools: Git, Docker, VS Code, testing frameworks (pytest, Jest)

- Security: Authentication flows, secure credential management, data encryption


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