GenAI Agent Developer

Career Opportunities with Maverick Power

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At Maverick Power, we don’t just build power distribution solutions—we redefine industry standards. Recognized on the 2025 Inc. 5000 list as #16 in the U.S., #2 in Manufacturing, and #1 in Texas, we are committed to driving innovation, quality, and speed. With multiple manufacturing facilities across North Texas and Phoenix, we are expanding rapidly and looking for top talent to grow with us

If you are ready to be part of a high-energy, solutions-driven team where your work makes an impact, Maverick Power is the place for you.

What We Offer:

• Competitive Salary + Bonus Potential!
• Paid Time Off, 401K Matching, Medical, Dental, and Vision Benefits!
• High-growth organization with advancement opportunities!

About the Role:

Maverick Power is standing up a dedicated AI build team to make Quote-to-Cash dramatically faster—cutting quote cycle time from 3–5 days to under 2 hours. As a GenAI Chat Developer, you'll build the conversational interface at the heart of this effort: a chat-based application that simplifies quoting for inside sales today, and eventually our customers. You'll own the UX, prompt orchestration, and application shell that becomes the reusable foundation for every AI use case Maverick builds next.

This isn't a one-off app—it's the platform every future "skill" gets added to.

Key Responsibilities:

• Design and build the conversational (chat) interface for the Quote-to-Cash application, using Python and GenAI application frameworks (e.g., Streamlit or equivalent).
• Own prompt orchestration, session management, and the overall application shell architecture.
• Collaborate with MCP/Integration Developers to consume the Quote Tool, Hub Spot, and Epicor MCP servers within the chat experience.
• Build and maintain a versioned prompt and evaluation library to support consistent, high-quality AI output.
• Iterate on the application based on inside-sales feedback to reduce quote-cycle time and improve the quoting experience.
• Support the transition from an internal co-pilot MVP to a broader, and eventually customer-facing, application.
• Contribute to the reference-architecture mandate: build the app shell so the next AI use case is a configuration exercise, not a rebuild.
• Perform other job-related duties as assigned.

Qualifications:

• Minimum of 2 years of professional experience in Python application development.
• Hands-on experience building generative-AI chat or conversational interfaces (Streamlit, Gradio, or comparable frameworks).
• Practical experience with prompt engineering and LLM application design.
• Comfortable working directly with end users (inside sales, operations) to translate real workflows into application features.
• Strong collaboration skills; able to work in a small, senior, tightly integrated team.
• Comfortable using AI coding tools (e.g., Cursor, Git Hub Copilot, Claude Code, Codex) as part of the daily development workflow.

Preferred Qualifications

• Experience building or contributing to a reusable application shell or internal platform, rather than a single-purpose app.
• Familiarity with MCP (Model Context Protocol) or similar agent-integration patterns.
• Experience with evaluation harnesses or systematic prompt testing.
• Exposure to CRM (Hub Spot) or ERP (Epicor) data and workflows.

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…