Agentic AI MCP Integration Specialist
Location: Charlotte, NC (preferred; open to remote for strong candidates)
Duration: 6 Months
 
Specialize in extending agents into enterprise systems through MCP (Model Context Protocol). Build MCP servers, integrate SaaS/SOR APIs, and harden the tool layer that agents depend on.
 
Required Qualifications:

• 5+ years of experience in software engineering, API integration, data engineering, or enterprise application integration.
• Hands-on experience with Generative AI / LLM-based applications.
• Experience building APIs, connectors, microservices, or enterprise integration layers.
• Exposure to Agentic AI, tool-calling, workflow automation, or AI orchestration frameworks.
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Science, or related field.

 
Role/Responsibilities:

• Design, build, and maintain MCP servers that expose enterprise tools, data, and APIs to AI agents.
• Develop reusable MCP connectors/adapters for internal and external systems.
• Implement MCP-based access to:
  • Databases and data platforms
  • REST / GraphQL APIs
  • Document repositories
  • Workflow systems
  • Enterprise applications
• Ensure MCP servers are modular, reusable, secure, and observable.
• Integrate MCP-enabled tools with LLM applications, copilots, and autonomous agents.
• Implement tool invocation patterns for single-agent and multi-agent workflows.
• Ensure AI agents can discover, invoke, and consume tools safely through MCP.
• Build integrations between Agentic AI platforms and enterprise systems including:
  • ServiceNow, Jira, Confluence
  • SharePoint, Teams, Outlook
  • Databricks, Snowflake, Synapse
  • SQL / NoSQL databases
  • CRM, ERP, and insurance platforms
  • Internal APIs and microservices
• Work with application, data, cloud, and cybersecurity teams to onboard enterprise tools into MCP-based agent ecosystems.

 
Key role:

• Design and implement MCP servers exposing enterprise tools (Rally, ServiceNow, Confluence, SharePoint, GitHub Jenkins, Snowflake, etc.).
• Define tool schemas, resource URIs, and prompt templates following the MCP spec; ensure deterministic, idempotent, well-documented tools.
• Implement authentication patterns (OAuth2, SSO, AWS IAM, service principals) and per-tenant authorization for MCP tools.
• Build connectors and adapters that translate enterprise API quirks (pagination, rate limits, eventual consistency) into clean agent-facing primitives.
• Instrument MCP servers with logging, tracing ,metrics, and audit trails for compliance.
• Partner with the Architect on the MCP tool catalog, naming conventions, and versioning strategy.
• Triage and resolve issues where agents misuse tools — improve schemas, descriptions, and error responses.
• Deep understanding of the MCP specification (resources, tools, prompts, transports —/HTTP/SSE).
• Strong API integration background: REST, webhooks, OAuth2/OIDC.
• Python and/or TypeScript proficiency; familiarity with MCP SDKs in either ecosystem.
• Enterprise integration patterns retries, circuit breakers, backoff, dead-letter queues.
• Security: secrets vaulting (AWS Secrets Manager / HashiCorp Vault), least-privilege scoping.

  
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws.This position's pay range is $96.43/hr - $98.00/hr.