Artificial Intelligence Engineer (.NET)

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., * 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.

• 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.