Hiring: Staff Software Engineer - Applications, Full Stack Company: ID.me Location: McLean, VA Job Posted Time: 2026-09-13 17:59:02 Employment Type: Full-time, In-office (on-site five days per week) Target Skills & Keywords: Full Stack, Ruby on Rails, GoLang, React, LLM Orchestration, Claude, Model Context Protocol (MCP), Google Vertex AI, AI Agents, Prompt Engineering, Agentic Workflows, IAM, Security, Data Protection, API Design, UI Components, Call Center Automation, Identity Verification Experience: - Staff-level software engineering experience leading the evolution of custom in-house web applications - Proven track record architecting production-grade solutions on Google Vertex AI - Experience integrating LLMs (specifically Claude) and designing/deploying autonomous agents - Experience overseeing full-stack development across Ruby on Rails, GoLang, and modern LLM orchestration - Experience mentoring engineers on prompt engineering, agentic workflows, and modern full-stack best practices Required Skills: - AI Orchestration & Agent Design: Lead technical vision for integrating LLMs into internal member support applications; design and deploy autonomous agents that automate manual call center workflows - Product Evolution: Lead technical vision for member support-facing verification UI flows, ensuring AI-assisted tools are seamlessly integrated into agent and member experience - Shared Infrastructure: Develop shared UI components and API patterns supporting 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 - Full-stack proficiency in Ruby on Rails, GoLang, and React Qualifications: - Staff-level full-stack engineering expertise - Hands-on experience with LLM orchestration, Claude, and Model Context Protocol (MCP) - Experience building and deploying AI agents on Google Vertex AI - Strong understanding of IAM, security, and data protection standards - Ability to champion an AI-native engineering culture - Experience with prompt engineering and agentic workflows Compensation: Not specified in the provided job text. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!