Staff Software Engineer - Applications, Full Stack

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/. ID.me is a full-time, in-office culture. Unless a specific job description explicitly states otherwise, all roles are on-site five days per week at one of our offices in McLean, VA; Mountain View, CA; New York City, NY; or Tampa, FL. Certain roles — such as field-based sales or other remote-by-design positions — may have different work arrangements as noted in their individual postings. At ID.me, we embrace the thoughtful [... source excerpt omitted ...] eam 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 authenticat [... source excerpt omitted ...] (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: Architec