Full Stack Engineer – Agentic Platform, MCP Integrations

Role Overview

• Own the technical foundation that makes AI agents capable of taking meaningful action across Progressive Leasing’s systems and codebases — building the integration infrastructure, MCP server connections, and platform tooling that the broader AI Enablement Team depends on
• Build and maintain MCP (Model Context Protocol) servers that expose internal systems — Jira, Confluence, GitHub, ServiceNow, and others — as agent-accessible tools with well-defined interfaces, resource exposure, and governance controls
• Develop full stack platform features using TypeScript/Node.js on the backend and React on the frontend, delivering production-grade tooling that engineering teams across the organization rely on daily
• Design and build API integrations that give AI coding agents like Claude Code and GitHub Copilot secure, structured access to the systems they need to produce reliable, standards-compliant output
• Construct and maintain CI/CD pipelines and GitHub Actions that automate AI review gates, context validation, and deployment workflows as part of the FastPassAI platform
• Author and maintain structured context documentation — CLAUDE.md files, ADRs, architecture docs, and STANDARDS.md — that enables AI agents to produce high-quality, contextually aware output at scale
• Implement agentic workflow patterns including multi-step reasoning, tool use, human-in-the-loop checkpoints, and failure handling across the platform’s Sidekick agent infrastructure
• Serve as a force multiplier for every engineering team the AI Enablement Team supports — the infrastructure you build is the foundation that makes agentic development possible across the entire organization

Requirements

• 4+ years’ of full stack development experience with strong proficiency in TypeScript/Node.js and React, with production experience in both backend and frontend systems
• Hands-on experience building or consuming MCP (Model Context Protocol) servers — including tool definition, resource exposure, and agent-to-system connectivity
• Practical experience with Claude Code and GitHub Copilot as development tools, including context file authoring and agentic workflow configuration
• Experience designing and building API integrations that expose internal systems — Jira, Confluence, GitHub, ServiceNow, or similar — as agent-accessible tools
• Familiarity with CI/CD pipeline construction and GitHub Actions for automating review gates, context validation, and deployment workflows
• Understanding of agentic workflow patterns — multi-step reasoning, tool use, human-in-the-loop checkpoints, and failure handling
• Experience writing and maintaining structured context documentation that enables AI coding tools to produce standards-compliant output
• Comfort with infrastructure fundamentals — REST API design, authentication patterns, environment management, and basic cloud services (AWS or Azure)
• Demonstrated ability to self-motivate, self-direct, and deliver results in a fast-paced environment with evolving requirements
• Bachelor’s degree or equivalent work experience

Tech Stack

• AWS
• Azure
• Cloud
• JavaScript
• Node.js
• React
• ServiceNow
• TypeScript

Benefits

• Competitive Compensation
• Full Health Benefits; Medical/Dental/Vision/Life Insurance + Paid Parental Leave
• Company Matched 401k
• Paid Time Off + Paid Holidays + Paid Volunteer Hours
• Employee Resource Groups (Black Inclusion Group, Women in Leadership, PRIDE, Adelante)
• Employee Stock Purchase Program
• Tuition Reimbursement
• Charitable Gift Matching
• Job required equipment and services