Job Title: Senior Full Stack Engineer, Commerce AI
Location: Seattle, WA (Remote)
Duration: 12 Months
Role Overview
We are seeking a Senior Full Stack Engineer to join our Commerce AI team as highly autonomous individual contributors. In this role, you will architect, build, and deploy AI-native applications that directly impact the booking flow, dynamic pricing models, and personalized guest experiences. You 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.
- 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
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Spectraforce Technologies
Jul 21, 2026