Releady

Senior Full Stack Engineer – Commerce AI

Seattle, WA, US$166,400-$208,000Posted 26 days ago

Job Description

OVERVIEW

We are seeking an experienced Senior Full Stack Engineer – Commerce AI with a strong background in full-stack engineering and applied AI/LLM systems to support the client's Commerce AI team. This role sits at the intersection of technical innovation and guest experience, helping shape the strategic direction of AI-powered commerce solutions.

The successful candidate will architect, build, and deploy AI-native applications that directly impact high-traffic booking flows, dynamic pricing models, and personalized guest experiences, blending deep traditional full-stack engineering with hands-on orchestration of Agentic AI systems using modern LLMs and integration frameworks.

This role is ideal for a highly autonomous, detail-oriented senior individual contributor who is comfortable driving complex system design, working across dual-cloud environments, and delivering AI solutions within a high-traffic, revenue-generating e-commerce environment.

  • Location:, Seattle (hybrid preferred) or remote covering PST time zone
  • Contract Length: 1 year (extension and conversion option)
  • Rate: $80 - 100/hr DOE

RESPONSIBILITIES

* Design, build, and scale secure, AI-native applications that enhance the digital storefront, optimize revenue, and personalize the guest journey. * Implement advanced Agentic AI workflows, integrating with leading LLMs (Gemini, OpenAI, Anthropic) to build autonomous systems for planning, dynamic merchandising, and guest support. * Leverage the Model Context Protocol (MCP) framework to seamlessly and securely connect AI models with enterprise booking engines, CRM systems, and real-time operational data. * Write clean, maintainable, high-performance code across the stack utilizing C# (.NET) for high-throughput backend microservices and SvelteKit for dynamic, accessible user interfaces. * Architect and manage cloud infrastructure across Azure and GCP, ensuring optimal deployment, latency reduction, scalin

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