• Designing and building scalable features and infrastructure for AI-powered research tools. • Engaging directly with customers to gather insights and improve user experience. • Monitoring and optimizing system performance and costs, making pragmatic tradeoffs to keep us lean and moving fast. • Establishing best practices for prompt engineering and deployment of new models and workflows. • Owning the design and automation of eval pipelines to continuously measure, benchmark and improve AI agent quality and reliability.

• Build and ship product features end-to-end using AI-assisted development (Claude Code, AI-agents, skills in Claude Code, etc.) • Integrate AI capabilities into the product (e.g., generation, automation, decision logic, internal tools). • Work with APIs, services, and data to create scalable and reliable functionality. • Continuously improve development speed and quality using AI tools, automations, etc.

• Collaborate closely with all the other members of the team to take shared responsibility for the overall efforts that the team has made too. • Interact with users as necessary to clarify requirements and take ownership for the quality of software. • Break larger projects into smaller ones that can be delivered iteratively, using an agile mindset. • Problem solves, understand, and analyze complex issues and propose workable solutions. • Prioritize work based on benefit and project timelines. • Work with existing toolsets while simultaneously bringing new ideas and approaches into the team. • Adhere to and respect working agreements with teams when working on projects. • Support post-deployment fallouts on projects worked on and released to production.

• 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