Role: Senior Full Stack Engineer, Commerce AI

Location: Seattle, WA (Remote)

Department: Ecommerce, Revenue & Guest Experience

Team: Commerce AI

Engagement Type: Staff Augmentation

About the Commerce AI Team

The Commerce AI team sits at the intersection of technical innovation and guest experience at our client. We are leading the strategic direction of the Commerce AI practice to shape the future of travel. By building and deploying advanced, AI-powered solutions within our Ecommerce and Revenue organizations, we aim to drive exceptional guest value, accelerate business growth, and unlock new ancillary and core revenue opportunities.

Role Overview

We are seeking a Senior Full Stack Engineer to join our Commerce AI team as a highly autonomous individual contributor. In this role, you will architect, build, and deploy AI-native applications that directly power the client’s booking flow, dynamic pricing models, and personalized guest experiences. You will blend deep full-stack engineering (C# / .NET, Svelte / SvelteKit, and Microsoft Azure / GCP) with hands-on orchestration of Agentic AI systems and LLM integration frameworks.

Key Responsibilities

• Full-Stack Execution: Write clean, high-performance, and maintainable code across the stack using C# (.NET 8+) for high-throughput backend services and Svelte / SvelteKit or similar Frontend Framework with TypeScript for dynamic, responsive guest-facing interfaces.
• AI-Powered Commerce Architecture: Architect and scale secure, AI-native applications that optimize digital storefront conversion, dynamic merchandising, and end-to-end guest personalization.
• Agentic Workflows & Multi-Agent Systems: Design and orchestrate autonomous AI agents using advanced function calling and tool use across frontier models (OpenAI, Anthropic, Gemini).
• Protocol & Data Integration: Leverage the Model Context Protocol (MCP) to securely bridge LLMs with enterprise reservation engines, real-time flight data, loyalty systems, and CRM platforms.
• Dual-Cloud & Distributed Systems: Deploy, monitor, and scale workloads across Microsoft Azure (Azure OpenAI, App Services, Cosmos DB, Service Bus) and GCP, ensuring low latency, high availability, and AI cost-efficiency under peak booking traffic.
• Architecture, Safety & Quality: Drive end-to-end system design, establish rigorous CI/CD and testing standards (xUnit, Playwright, Vitest), and enforce AI safety, OWASP Top 10 for LLMs, and data privacy guardrails.

Required Skills & Qualifications

Technical Core & Cloud

• Backend: Deep expertise in C# and modern .NET (.NET Core / .NET 8+) building enterprise RESTful APIs, asynchronous services, and clean architectures.
• Frontend: Proven track record building high-performance, accessible consumer web applications with SvelteKit or modern Svelte (plus TypeScript and modern CSS).
• Cloud Platforms: Hands-on experience architecting and operating production workloads in Microsoft Azure (primary) and Google Cloud Platform (GCP).
• Data Stores: Strong command of relational databases (Azure SQL / SQL Server, PostgreSQL) and document/NoSQL stores (Azure Cosmos DB), including indexing and schema design.

AI & Agentic Systems

• Agentic Frameworks: Proven experience designing multi-agent orchestrations, autonomous task execution, and complex function-calling/tool-use pipelines.
• Model Context Protocol (MCP): Hands-on experience integrating systems via the MCP framework for secure, standardized LLM tooling.
• LLMs & RAG: Deep understanding of prompting strategies, semantic caching, vector indexing, and Retrieval-Augmented Generation (RAG) using OpenAI, Anthropic, or Gemini APIs.

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.
• Proven success as an individual contributor in fast-paced, agile environments.

Preferred Qualifications

• Experience building complex, high-transaction e-commerce systems involving dynamic pricing, real-time inventory management, or high-scale loyalty programs (airline/travel industry experience is a bonus, but not required).
• Experience building complex reasoning pipelines, semantic routing architectures, or custom retrieval logic to supply AI agents with complex enterprise business rules.
• Knowledge of LLM monitoring, evaluation, and observability tools.