AI Engineer (.NET Core, C#)

NexGen Tech Solutions; United States; On-site; USD 160,000 - 210,000; Full time

Job summary

NexGen Tech Solutions seeks a senior software engineer to design and deliver AI-native commerce platforms. You will build scalable backend services in C#/.NET 8+ and create responsive UIs with Svelte/TypeScript for high-throughput systems.

Lead the architecture of multi-agent workflows, integrate with enterprise data via MCP, and deploy across Azure and Google Cloud with best-practice CI/CD and testing. Strong system design and AI maturity are essential.

Qualifications

• 8+ years of professional software engineering experience.
• 3+ years building AI-native or LLM-powered applications.
• Strong background in system design balancing latency, cost, and accuracy.

Responsibilities

• Architect and build AI-native commerce platforms and agentic workflows.
• Develop high-performance backend services in C#/.NET 8+ and modern frontend with Svelte/TS.
• Design secure integrations using MCP for enterprise data and tools.

Skills

C#/.NET

Svelte/TypeScript

Azure & GCP

SQL & Cosmos DB

Multi-agent systems

MCP framework

RAG & LLMs

System design

Tools

xUnit

Playwright

Vitest

Job description

• 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.

Required Skills & Qualifications

Technical Core & Cloud

• 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.

AI & Agentic Systems

• 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.

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.