Cloud AI Engineer: .NET, Azure & AI Orchestration

Moog Inc; East Aurora (NY); Hybrid; USD 110,000 - 145,000; Full time

Benefits offered by this job

Annual profit sharing

401(k) matching

Employee Stock Purchase Plan

Flexible PTO

Relocation assistance

Comprehensive health benefits

Job summary

Moog Inc. in Buffalo, NY, is seeking an experienced AI Software Engineer to design, develop, and maintain distributed cloud-based systems using C# and the .NET ecosystem.

This role combines traditional software engineering with emerging AI technologies to improve performance, scalability, and reliability in our applications. You will work in a hybrid environment, collaborating with cross-functional teams, deploying services to Azure, containerizing with Docker and Kubernetes, and integrating LLM

Qualifications

• Five (5) years of professional software development experience.
• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent professional experience.
• Strong proficiency in C# and object‑oriented programming (OOP) principles.
• Proven experience with .NET framework and .NET Core.
• Familiarity with modern web technologies and frameworks (React, Angular, Vue.js).
• Hands‑on experience with Microsoft Azure including DevOps, Messaging Systems, and Infrastructure as Code.
• Preferred experience with Blazor (Server or WebAssembly).
• Preferred experience with LLM orchestration frameworks (LangChain, LangGraph, Semantic Kernel, Semantic Memory, or similar).
• Practical knowledge of containerization technologies (Docker, Kubernetes, and/or Azure Container Apps).
• Understanding of distributed system architectures and design patterns.
• Experience with REST API and testing tools (Postman, Insomnia, REST Client).
• Experience with unit testing and integration testing.

Responsibilities

• Design, develop, and maintain full stack applications using C# and .NET framework.
• Build and enhance functionality for distributed cloud-based systems running on Azure.
• Implement new business logic and features to support evolving system requirements.
• Integrate and optimize generative AI and LLM capabilities into applications using orchestration frameworks.
• Containerize applications using Docker, Kubernetes, and/or Azure Container Apps.
• Support and troubleshoot existing production systems to ensure high availability.
• Collaborate with cross-functional teams to deliver scalable and reliable solutions.
• Write clean, maintainable, and well‑documented code following OOP principles.
• Participate in code reviews and contribute to continuous improvement initiatives.

Skills

C#

OOP

NET Core

Azure

Docker

Kubernetes

REST APIs

Unit testing

LLM orchestration

Blazor

Education

Bachelor's degree in CS/Software Eng

Tools

Azure DevOps

Postman

Insomnia

REST Client

LangChain

LangGraph

Semantic Kernel

Semantic Memory

Docker

Kubernetes

Azure Container Apps

Job description

Moog Inc. in Buffalo, NY, is seeking an experienced AI Software Engineer to design, develop, and maintain distributed cloud-based systems using C# and the .NET ecosystem.

This role combines traditional software engineering with emerging AI technologies to improve performance, scalability, and reliability in our applications. You will work in a hybrid environment, collaborating with cross-functional teams, deploying services to Azure, containerizing with Docker and Kubernetes, and integrating LLM