MCP/Integration Developer

Maverick Power

$95K — $115K *
Plano, TX 75025In-Person
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years building enterprise-grade API integrations.
  • Hands-on experience with MCP servers or similar frameworks.
  • Experience integrating internal and third-party APIs for AI use.
  • Strong knowledge of authentication and data mapping in production settings.
  • Experience with logging and monitoring for production systems.
  • Comfortable in a small, senior team with significant ownership.
  • Familiarity with AI coding tools in development workflows.

Responsibilities

  • Design and maintain MCP servers for AI interactions with CRM and ERP.
  • Collaborate with developers to define AI-friendly interfaces.
  • Create standardized integration patterns for future systems.
  • Integrate with HubSpot and Epicor for automation.
  • Establish governance and observability for AI integrations.
  • Develop data plumbing for AI applications using business data.
  • Work with GenAI Chat Developers to ensure compatibility.

Benefits

  • Hybrid work environment.
  • Opportunity to work on cutting-edge AI integrations.
  • Collaborative and senior team structure.
  • Significant ownership of projects and decisions.
Full Job Description
Hybrid:
Travel: 0%

About the Role:

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."

Key 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.

Qualifications:
  • 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.

Preferred Qualifications:
  • 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.

Physical Requirements:
  • Ability to sit or stand at a workstation for extended periods.
  • Ability to occasionally lift up to 15 lbs (equipment, monitors, etc.).
  • Regular use of computer, keyboard, and monitor for extended periods.

Work Environment:
May work in various settings at the Maverick Power facilities, in offices, in multiple shops, and in commercial buildings. Maintaining the same position or posture while performing tasks and sitting for prolonged periods. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position.

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