Hatch Pros · 18 hours ago
MCP Developer
Hatch Pros is seeking an experienced MCP Developer to design, build, and maintain Model Context Protocol (MCP) server implementations that enable AI agents to interact with enterprise systems. This role focuses on developing secure connectors and optimizing performance for low-latency interactions, collaborating closely with AI/ML engineers.
Information Technology & Services
Responsibilities
Design and develop MCP server implementations exposing tools, resources, and prompts for LLM consumption
Build secure connectors integrating enterprise platforms (Splunk, Zendesk, Databricks, ServiceNow, etc.) with AI agent systems
Implement JSON-RPC protocol handlers and manage client-server communication patterns
Develop tool schemas and parameter validation logic for LLM tool calling
Create error handling, retry mechanisms, and circuit breakers for production reliability
Optimize connector performance for low-latency AI agent interactions
Implement authentication flows (OAuth, API keys, SSO) and secure credential management
Write comprehensive tool documentation including descriptions, parameters, and usage examples that LLMs can understand
Build testing frameworks for connector reliability and LLM interaction validation
Collaborate with AI/ML engineers to understand agent requirements and context limitations
Monitor connector usage patterns and optimize for token efficiency
Maintain and version existing MCP servers as APIs and LLM capabilities evolve
Qualification
Required
4+ years of software development experience with production systems
Strong proficiency in Python and/or TypeScript/Node.js
Deep experience with REST APIs, GraphQL, and various integration patterns
Understanding of JSON-RPC, WebSocket, or similar RPC protocols
Expertise in async/await patterns and concurrent programming
Experience with authentication mechanisms (OAuth 2.0, JWT, API keys)
Strong grasp of error handling, logging, and observability practices
Experience building SDKs, libraries, or developer tools
Knowledge of security best practices for API integrations and data handling
Familiarity with Git, CI/CD pipelines, and deployment automation
Preferred
Hands-on experience with Model Context Protocol (MCP) specification and implementations
Experience integrating with LLM APIs (OpenAI, Anthropic, Azure OpenAI, Google Vertex AI)
Understanding of AI agent frameworks (FastMCP)
Knowledge of prompt engineering and LLM tool calling mechanisms
Experience with function calling and structured output from LLMs
Familiarity with enterprise platforms (Splunk, Databricks, Zendesk, Salesforce, Jira)
Understanding of token optimization and context window management
Experience with schema validation (JSON Schema, Pydantic, Zod)
Knowledge of containerization (Docker) and orchestration (Kubernetes)
Background in observability tools (Prometheus, Grafana, Datadog)
Contributions to open-source AI/LLM projects
Company
Hatch Pros
At Hatch Pros, we provide a unique blend of IT solutions and staffing services to businesses all across the USA.
Funding
Current Stage
Growth StageCompany data provided by crunchbase