Senior Full Stack Engineer, Commerce AI
12 Months+ Contract
SeaTac, WA
Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.
Role Overview
In this role, you will architect, build, and deploy AI-native applications and will combine deep, traditional full-stack engineering with hands-on orchestration of Agentic AI systems using modern LLMs and integration frameworks.
Key Responsibilities
AI-Powered Commerce Architecture: Design, build, and scale secure, AI-native applications that enhance the digital storefront, optimize revenue, and personalize the guest journey.
Agentic Workflow Development: Implement advanced Agentic AI workflows, integrating with leading LLMs (Gemini, OpenAI, Anthropic) to build autonomous systems for travel planning, dynamic merchandising, and guest support.
Protocol Implementation: Leverage the Model Context Protocol (MCP) framework to seamlessly and securely connect AI models with our enterprise flight and booking engines, CRM systems, and real-time flight data.
Full-Stack Execution: Write clean, maintainable, and high-performance code across the stack. You will utilize C# (.NET) for robust, high-throughput backend microservices and SvelteKit for dynamic, responsive, and accessible user interfaces.
Dual-Cloud Infrastructure: Architect and manage cloud infrastructure across Azure and GCP, ensuring optimal deployment, latency reduction, scaling, and cost-efficiency of AI workloads in a high-traffic e-commerce environment.
System Design & Guardrails: Drive complex system design discussions, establish technical guardrails, and ensure strict adherence to data privacy, AI safety, and enterprise architecture standards.
Required Skills & Qualifications
Technical Core
Backend: Deep expertise in C# and the .NET ecosystem for building enterprise-grade APIs and highly available microservices.
Frontend: Proven track record building interactive, performance-optimized e-commerce or consumer-facing web applications using SvelteKit (or advanced Svelte).
Cloud Architecture: Hands-on experience deploying and managing production workloads in both Microsoft Azure and Google Cloud Platform (GCP).
AI & Emerging Tech
Frameworks: Hands-on experience working with the Model Context Protocol (MCP) to build secure ecosystem integrations for LLMs.
Agentic AI: Demonstrated experience designing autonomous agents, multi-agent orchestrations, and complex tool-use (function calling) paradigms.
Model Proficiency: Deep understanding of API integration, fine-tuning patterns, and retrieval-augmented generation (RAG) using Gemini, OpenAI, and Anthropic models.
Professional Experience
8+ years of professional software engineering experience.
3+ years of dedicated experience building and scaling production-grade AI-native or LLM-powered applications.
Strong background in System Design, specifically balancing the trade-offs of latency, cost, and accuracy when integrating AI into revenue-generating e-commerce flows. xsgimln
Proven success as an individual contributor in fast-paced, agile environments.