Staff Software Development Engineer - Tools Team

Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login across websites without having to create a new login and verify their identity again. Over 152 million users experience streamlined login and identity verification with ID.me at 20 federal agencies, 45 state government agencies, and 70+ healthcare organizations. More than 600+ consumer brands use ID.me to verify communities and user segments to honor service and build more authentic relationships. ID.me’s technology meets the federal standards for consumer authentication set by the Commerce Department and is approved as a NIST 800-63-3 IAL2 / AAL2 credential service provider by the Kantara Initiative. ID.me is committed to “No Identity Left Behind” to enable all people to have a secure digital identity. To learn more, visit https://network.id.me/ . Role Overview: We are seeking a Staff Software Engineer for the ID.me Tools Team to lead the evolution of our custom in-house web applications. This team drives our Call Centers and Supervised Identity Verification flows—the "front door" of the premier digital wallet. In this role, you won't just be maintaining legacy systems; you will champion an AI-native engineering culture . We leverage Claude and the Model Context Protocol (MCP) to supercharge our development lifecycle, while architecting production-grade solutions on Google Vertex AI to build agents that automate complex, manual call center functions, streamlining how our members interact with identity verification. You will oversee the intersection of Ruby on Rails, GoLang, and cutting-edge LLM orchestration to build a best-in-class, secure, and AI-augmented authentication experience. Key Responsibilities: AI Orchestration & Agent Design: Lead the technical vision for integrating LLMs (specifically Claude) into our internal tools. Design and deploy autonomous agents that automate manual call center workflows. Product Evolution: Lead the technical vision for member support-facing verification UI flows, ensuring AI-assisted tools are seamlessly integrated into the agent and member experience. Shared Infrastructure: Develop shared UI components and API patterns that support scalable, multi-product verification workflows and AI-driven automation. System Integrity: Ensure all AI-driven automations comply with strict IAM, security, and data protection standards. Mentorship & Excellence: Mentor engineers on prompt engineering, agentic workflows, and modern full-stack best practices (Rails/Go/React). Instrumentation: Lead experimentation efforts, including A/B testing AI agent performance versus manual flows and detecting fraud through UX signals. Required Qualifications: Bachelor’s degree in Computer Science or a related field. 10+ years of experience in full-stack engineering, with a proven track record of scaling customer-facing applications. 1+ years of hands-on experience with LLM integration (Claude/OpenAI) and building agentic workflows. Familiarity with MCP (Model Context Protocol) or similar architectural patterns for connecting LLMs to data. 5+ years of experience in Ruby on Rails, GoLang, and React/TypeScript. Preferred Qualifications: Architecture: Strong understanding of component-driven design, state management, and building secure backends with PostgreSQL. Leadership: Proven ability to influence cross-functional stakeholders and set technical direction in fast-paced environments. Automated Support Systems: Experience building or maintaining "Human-in-the-loop" AI systems within a call center or support environment. Identity & Security: Deep understanding of identity verification, regulatory frameworks (NIST, IAL2), or IAM digital security. Scalable Tooling: Familiarity with design systems, shared component libraries, and modular SDK design. Data Transformation: Experience with data pipeline tools for feature f