MCP Connector Developer
Location: Alpharetta, GA (Hybrid - 3 days onsite) - local candidates only
Duration: 6 months+ (Extendable)
Interview Process: 1st round is a virtual interview/ Final round is onsite
Key skills: Python, API Integrations, We are looking for someone that has implemented or worked on MCPs from scratch.
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
- 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
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
Soft Skills
- Strong problem-solving and debugging abilities
- Excellent written communication for documentation
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