Note: The job is a remote job and is open to candidates in USA. NexGen Tech Solutions is seeking an AI Engineer to build and scale AI-native commerce applications. The role focuses on full-stack development with C# and .NET, agentic workflows, LLM integrations, cloud infrastructure across Azure and GCP, and secure, high-performance distributed systems.
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 interfaces
- AI-Powered Commerce Architecture: Architect and scale secure, AI-native applications that optimize digital storefront conversion, dynamic merchandising, and end-to-end 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 systems, real-time data, loyalty platforms, 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 cost efficiency under peak load
- 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
Skills
- • 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 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
- • 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
- • 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
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