Full Stack Engineer

Job Description: We are seeking a Full-Stack Engineer to join a Commerce AI team as a highly autonomous individual contributor. In this role, you will architect, build, and deploy AI-native applications that directly impact booking flows, dynamic pricing models, and personalized customer experiences.You will combine deep traditional full-stack engineering expertise 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 digital commerce experiences, optimize revenue, and personalize the customer journey.Agentic Workflow Development: Implement advanced agentic AI workflows, integrating with leading LLMs to build autonomous systems for travel planning, dynamic merchandising, customer support, and related use cases.Protocol Implementation: Leverage the Model Context Protocol (MCP) framework to securely connect AI models with enterprise systems, booking engines, CRM platforms, and real-time data sources.Full-Stack Execution: Write clean, maintainable, and high-performance code across the technology stack. Utilize C# and .NET for robust, high-throughput backend microservices and SvelteKit for dynamic, responsive, and accessible user interfaces.Cloud Infrastructure: Architect and manage cloud infrastructure across multiple cloud platforms, ensuring optimal deployment, latency reduction, scalability, and cost efficiency for AI workloads in a high-traffic e-commerce environment.System Design & Guardrails: Drive complex system design discussions, establish technical guardrails, and ensure adherence to data privacy, AI safety, and enterprise architecture standards.Required Qualifications:Technical CoreBackend: Deep expertise in C# and the .NET ecosystem for building enterprise-grade APIs and highly available microservices.Frontend: Proven track record of 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 across major cloud platforms, including Microsoft Azure and Google Cloud Platform (GCP).AI & Emerging TechnologyFrameworks: 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 orchestration, and complex tool-use/function-calling paradigms.Model Proficiency: Deep understanding of API integration, fine-tuning approaches, and retrieval-augmented generation (RAG) using leading LLM platforms.Professional ExperienceProfessional software engineering experience.Dedicated experience building and scaling production-grade AI-native or LLM-powered applications.Strong background in system design, specifically balancing trade-offs among latency, cost, and accuracy when integrating AI into revenue-generating e-commerce workflows.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.Experience building complex reasoning pipelines, semantic routing architectures, or custom retrieval logic to provide AI agents with complex enterprise business rules.Knowledge of LLM monitoring, evaluation, and observability tools.