Black Rock Solutions INC

Full Stack Dev-AI

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full Stack Dev-AI in Redmond, WA (remote, PST hours) with a contract length of unknown duration, offering $52-58/hr. Key skills include C#, Azure OpenAI Service, secure deployment, MCP framework, and DevOps practices.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
120
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πŸ—“οΈ - Date
December 2, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
-
🧠 - Skills detailed
#DevOps #AI (Artificial Intelligence) #Azure #Scala #JMeter #JavaScript #API (Application Programming Interface) #Azure DevOps #Automation #POSTMAN #C# #Python #REST (Representational State Transfer) #GitHub #TypeScript #Deployment #REST API
Role description
Title- Full Stack Dev-AI Location - Redmond, WA (Open for WFH -Need to work in PST time zone) Rate- $52-58/hr Note From Client Skill sets reviewed (All Rating are out of 5) 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? Primary Skills β€’ Full Stack (C# TypeScript or JavaScript, and Python) β€’ Azure Services β€’ Azure OpenAI, and Cognitive Services β€’ MCP framework β€’ Microsoft ecosystem experience β€’ Playwright, JMeter, Postman, and REST API testing Good To Have β€’ Proficient in Microsoft Copilot extensibility, Semantic Kernel (including planner, memory, and connectors), and prompt orchestration β€’ DevOps & CI/CD: Knowledgeable in Azure DevOps, GitHub Actions, and Bicep for continuous integration and deployment β€’ GitHub Copilot Skills: azure,ci,c#,stack,enterprise,scalability,devops,cd,microsoft,c,framework