Full Stack Developer - AI

Title- Software Engineer
Location - Redmond, WA (Open for WFH -Need to work in PST time zone)
Primary Skills:
• Full Stack (C# TypeScript or JavaScript, and Python)
• Azure Services
• Azure OpenAI, and Cognitive Services
• MCP framework
• Microsoft ecosystem experience
• Playwright, JMeter, Postman, and REST API testing
Good to Have:
• Proficient in Microsoft Copilot extensibility, Semantic Kernel (including planner, memory, and connectors), and prompt orchestration
• DevOps
CI/CD: Knowledgeable in Azure DevOps, GitHub Actions, and Bicep for continuous integration and deployment
• GitHub Copilot
Submit profiles with below Questioner
Skill sets reviewed (All Rating are out of 5)
[Associate Name]
C# Microsoft Full Stack
Azure OpenAI Service (prompt engineering and integration with enterprise workflows)
Or any AI
Hands-on experience in secure deployment and scalability best practices for enterprise AI workloads
MCP (model context protocol) Framework experience
Microsoft Project
Ecosystem Expertise
Playwright, JMeter, Postman, and REST API testing
DevOps
CI/CD
C# Microsoft Full Stack
Can you describe a full stack application you developed using C#, including how you structured the backend and frontend layers for scalability and maintainability?
Azure AI Foundry
MLOps
Tell me about a project where you developed and deployed models using Azure AI Foundry, and how you applied MLOps practices to ensure reliability and automation.
Azure OpenAI Service
Enterprise Workflows
How have you used Azure OpenAI Service for prompt engineering, and what approaches did you take to integrate it into enterprise workflows?
Secure Deployment
Scalability
What steps have you taken to ensure secure deployment and scalability of enterprise AI workloads, and can you share a specific example of how you applied best practices?
MCP Framework
What is your experience with the Model Context Protocol (MCP) framework
Testing
Tools
Can you explain how you have used Playwright, JMeter, or Postman to test REST APIs, and what strategies you followed to validate performance and reliability?
DevOps
CI/CD
How have you implemented CI/CD pipelines for enterprise applications, and what tools or practices did you use to support automated builds, testing, and deployments?