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Principal Engineer; Ecommerce, AEM, AI, React) Miami, FL- onsite

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Steneral Consulting
Full Time position
Listed on 2026-10-18
Job specializations:
  • Software Development
    Software Architect, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Position: Principal Engineer (Ecommerce, AEM, AI, React) Miami, FL- 4 days onsite
Job Summary (Principal Engineer - Ecommerce, AEM, AI, React)
  • Serve as technical visionary and senior individual contributor for the end-to-end architecture, standards, and long-term roadmap of the digital commerce platform.
  • Provide high-level technical leadership and influence across all engineering teams and technology stacks, impacting every customer interaction.
  • Contribute to a micro-frontend architecture combining React-based SPAs, Adobe Experience Manager (AEM) headful pages, Node.js/Java API layer, GraphQL federation, and AWS cloud infrastructure.
  • Drive the adoption and integration of AI-assisted development practices, including evaluating and standardizing AI tools across teams.
  • Set examples and best practices for high-velocity, AI-augmented engineering at scale.
  • Leverage 10+ years of software engineering experience across both frontend and backend disciplines.
  • Establish and enforce technical standards, drive architectural decisions, and influence teams without formal management responsibilities.
  • Demonstrate expert knowledge of modern frontend technologies:
    React, Next.js, SPAs, micro-frontend architecture, and component-driven design.
  • Apply deep experience with Adobe Experience Manager (AEM), including integration patterns, Editable Templates, component authoring, and frontend/AEM interoperability.
  • Design and implement production-grade agentic AI solutions, including autonomous agents, orchestration frameworks (Lang Graph, CrewAI, Auto Gen), tool-integrated reasoning, and retrieval-augmented generation (RAG) pipelines, with a proven track record of taking solutions from proof-of-concept to scalable deployment.
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