Full Stack .Net Developer with AI
- Global Applications Solution
50 Days Ago
NA
NA
Redmond-WA
8-12 Years
Required Skills: Full stack .Net Developer, Copilot, LLM, Cloud Platforms, DevOps practices and tools, Agile Methodologies, AI and Machine learning technologies
Job Description
Position: Full Stack .Net Developer with AI
Location: Redmond, WA (100% Remote)
Duration: 1+ Year
Job Description:
We are seeking a highly skilled Full Stack .Net Developer to join our dynamic team. The ideal candidate should have a strong background in .Net development and be proficient in both front-end and back-end technologies. Experience with Copilot and Large Language Models (LLM) is highly desirable.
Responsibilities:
Location: Redmond, WA (100% Remote)
Duration: 1+ Year
Job Description:
We are seeking a highly skilled Full Stack .Net Developer to join our dynamic team. The ideal candidate should have a strong background in .Net development and be proficient in both front-end and back-end technologies. Experience with Copilot and Large Language Models (LLM) is highly desirable.
Responsibilities:
- Develop and maintain web applications using .Net technologies.
- Collaborate with cross-functional teams to design, develop, and implement new features.
- Ensure the performance, quality, and responsiveness of applications.
- Identify and resolve bottlenecks and bugs in the codebase.
- Maintain code quality, organization, and automation.
- Stay updated with the latest industry trends and technologies.
Requirements:
- Proven experience as a Full Stack .Net Developer.
- Strong knowledge of the .Net framework and related technologies.
- Proficiency in front-end technologies such as React.js or Angular.
- Experience with back-end development using C#, ASP.Net, and SQL Server.
- Familiarity with Copilot and Large Language Models (LLM).
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork abilities.
Preferred Qualifications:
- Experience with cloud platforms such as Azure or AWS.
- Knowledge of DevOps practices and tools.
- Familiarity with Agile methodologies.
- Experience with AI and machine learning technologies.
