Principal Engineer, GenAI

🌍 Remote, USA 🚀 Full-time 🕐 Posted Recently

Job Description

    Job Description:
  • Reporting to the Sr Director, Software Engineering
  • Guide the architecture vision for D2C platforms with a mobile-first and AI-native mindset
  • Define roadmaps across mobile and web with emphasis on scalability, maintainability, and rapid experimentation
  • Champion modern patterns including micro frontends, server-driven UI (SDUI), BFF, and serverless systems
  • Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals
  • Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams
  • Integrate AI into every layer of architecture to support thoughtful, agentic system design.
  • Lead technical design across consumer products and internal platforms
  • Shape cohesive end-to-end architecture spanning APIs, services, and frontends
  • Guide strategic areas such as identity, content delivery, personalization, and A/B testing
  • Support agent-based automation and apply MCP to promote scalable AI workflows
  • Ensure security, observability, and operational excellence across systems
  • Mentor engineers and architects across domains
  • Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows
  • Advance system-level thinking and reusability through shared scaffolds and frameworks.
  • Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms
  • Promote agent-based design, prompt abstraction, and developer enablement across teams
  • Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.
    Requirements:
  • 8+ years in software engineering, with 5+ in architecture or principal roles
  • Experience with mobile (iOS/Swift, Android/Kotlin) and web (React, Angular) platforms
  • Expertise in microservices, GraphQL, API-first design, and AWS-native systems
  • Familiarity with SDUI, distributed systems, and resilient architecture
  • Operational experience in monitoring, observability, and incident response
  • Background in consumer tech domains like credit, personal finance, or marketplaces
  • Experience with headless CMS, rules engines, experimentation, and personalization
  • Experience with AI agent design, LLM orchestration (such as MCP), and integration of AI tools into developer workflows
  • Proficiency or active use of GitHub Copilot, Cursor, Claude, and prompt-based development tools
  • Experience in developer enablement, automation platforms, or engineering transformation initiatives.
    Benefits:
  • Great compensation package and bonus plan
  • Core benefits including full medical, dental, vision, and matching 401K
  • Flexible schedule, ability to work remotely, hybrid, or in-office
  • Flexible time off, including volunteer time off, vacation, sick, and 12-paid holidays

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