MCP/Integration Developer

Maverick Power•Plano, TX

4d•Hybrid

About The Position

Maverick Power's highest-value opportunities live in the seams between systems—the manual handoffs between CRM, Quote Tool, and ERP that no single team owns. As an MCP/Integration Developer, you'll build the enterprise-grade MCP servers that front the Quote Tool API, HubSpot CRM, and Epicor ERP, giving AI the ability to read and act across all three systems. This is the role most directly responsible for Maverick's reference architecture: the integration pattern, governance layer, and data plumbing you build here becomes the standard every future AI workstream inherits for free—turning "we automated quoting" into "we built an AI capability."

Requirements

Minimum of 3 years of professional experience building enterprise-grade API integrations.
Hands-on experience developing MCP (Model Context Protocol) servers or comparable agent-integration frameworks.
Demonstrated experience integrating internal and third-party APIs for AI or automation consumption.
Strong understanding of authentication, data mapping, and error-handling patterns for production integrations.
Experience implementing logging, monitoring, or governance controls for production systems.
Comfortable operating in a small, senior, fast-moving team with significant ownership.
Comfortable using AI coding tools (e.g., Cursor, GitHub Copilot, Claude Code, Codex) as part of the daily development workflow.

Nice To Haves

Experience with CRM (HubSpot) and/or ERP (Epicor) integrations.
Prior experience designing a reusable integration platform or reference architecture, not just point-to-point integrations.
Familiarity with autonomous agent architectures and human-in-the-loop design.
Experience building observability or cost/quality monitoring for AI systems.

Responsibilities

Design, build, and maintain MCP servers that front the Quote Tool API, HubSpot CRM, and Epicor ERP for AI consumption.
Partner with the Quote Tool API/Fullstack Developer to define clean, AI-consumable interfaces.
Build the standardized integration pattern (auth, data mapping, error handling) that lets every future system be fronted the same way.
Extend integration into HubSpot and Epicor to support automated BOM generation and lead routing.
Establish and maintain governance and observability: logging, guardrails, human-in-the-loop checkpoints, and cost/quality monitoring across all AI integrations.
Build standardized context/data plumbing to feed grounded, current business data (specs, pipeline, BOMs) into AI applications.
Collaborate closely with GenAI Chat Developers to ensure the application layer can reliably consume the MCP layer.
Document integration patterns explicitly for reuse—every design decision should be built to be reused, not rebuilt, by the next workstream.
Perform other job-related duties as assigned.