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# Software Engineer (CEAI)

- **Company:** Microsoft
- **Location:** Redmond, WA, United States
- **Experience:** Experienced
- **Salary:** $69,300.0 - $113,500.0
- **Contract:** Permanent contract
- **Skills:** ASP.NET, .NET Framework, Artificial Intelligence, Automation of Tests, Microsoft Azure, Business Software, C Sharp (Programming Language), Cloud Engineering, Software Quality, Continuous Integration, DevOps, Github, Machine Learning, Software Tools, Cloud Services, Software Engineering, Enterprise Software Applications, Spring Cloud, GitHub Copilot, ReactJS, Large Language Models, Containerization, Information Technology, Restful APIs, Programming Languages
- **Published:** July 30, 2026
- **Apply:** https://www.careerjet.com/job/us0d9d69f607861417ce9b78d4015d0915/eaa

## About the Role

equivalent experience. 2+ years of full stack development experience with a passion to develop enterprise level software with high-quality standards. Experience with Azure services, cloud-native application development, or containerized workloads. Exposure to AI, machine learning, large language models (LLMs), agentic applications, or intelligent automation solutions. Familiarity with Azure AI Foundry, Azure OpenAI Service, Semantic Kernel, or similar AI development frameworks. Understanding of observability, monitoring, telemetry, and operational excellence practices. Experience with DevOps, GitHub, CI/CD pipelines, automated testing, and software quality engineering. Demonstrated ability to collaborate effectively within diverse teams and communicate technical concepts clearly. Passion for building AI-first experiences and helping shape the future of agentic software development.

## Description

Design, develop, test, and deploy cloud-native applications and services using modern software engineering practices. Build and enhance intelligent business applications leveraging Azure AI Foundry, Azure OpenAI and agentic frameworks. Develop full-stack solutions using technologies such as C#, .NET, React, REST APIs, and cloud services. Collaborate with cross-functional teams to deliver high-quality features aligned with business and customer needs. Integrate AI agents, workflow automation, and conversational experiences into enterprise applications. Utilize AI-assisted engineering tools, including GitHub Copilot and agentic development workflows, to improve productivity and software quality. Learn and apply Responsible AI principles, security requirements, and engineering standards in all stages of software development. Bachelor's degree in computer science, or related technical discipline with proven experience in coding languages including, but not limited to, C#, ASP.Net core, React OR


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