Note: The job is a remote job and is open to candidates in USA. Releady is seeking an experienced Senior Full Stack Engineer – Commerce AI to support a client’s Commerce AI team. The role involves architecting, building, and deploying AI-native applications for high-traffic booking flows, dynamic pricing, and personalized guest experiences, while leading full-stack engineering and Agentic AI systems across Azure and GCP.
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, scaling, and cost efficiency of AI workloads in high-traffic e-commerce environments
- Drive complex system design discussions, establish technical guardrails, and ensure strict adherence to data privacy, AI safety, and enterprise architecture standards
Skills
- * 8+ years of professional software engineering experience
- * 3+ years of dedicated experience building and scaling production-grade AI-native or LLM-powered applications
- * Deep expertise in C# and the .NET ecosystem for building enterprise-grade APIs and highly available microservices
- * Proven track record building interactive, performance-optimized e-commerce or consumer-facing web applications using SvelteKit (or advanced Svelte)
- * Hands-on experience deploying and managing production workloads in both Microsoft Azure and Google Cloud Platform (GCP)
- * Hands-on experience working with the Model Context Protocol (MCP) to build secure ecosystem integrations for LLMs
- * Demonstrated experience designing autonomous agents, multi-agent orchestrations, and complex tool-use (function calling) paradigms
- * Deep understanding of API integration, fine-tuning patterns, and Retrieval-Augmented Generation (RAG) using Gemini, OpenAI, and Anthropic models
- * Strong background in system design, specifically balancing trade-offs between latency, cost, and accuracy when integrating AI into revenue-generating e-commerce flows
- * Proven success as an individual contributor in fast-paced, agile environments
- * Post-secondary degree in Computer Science, Software Engineering, or related discipline
- * Experience building complex, high-transaction e-commerce systems involving dynamic pricing, real-time inventory management, or high-scale loyalty programs (travel industry background is a strong plus)
- * Experience building complex reasoning pipelines, semantic routing architectures, or custom retrieval logic to supply AI agents with enterprise business rules
- * Knowledge of LLM monitoring, evaluation, and observability tools
Benefits
- Hybrid work preferred in Seattle or remote covering the PST time zone
- Contract length: 1 year with extension and conversion option
Company Overview