We are looking for a highly skilled and forward-thinking Full Stack Engineer to join our pioneering team. You will be at the forefront of building our next-generation MCP AI Platform, leveraging the full power of the Microsoft Azure ecosystem, the latest .NET frameworks, and React. This is a unique opportunity to work with cutting-edge technology, including AI development assistants like MS CoPilot, and deploy intelligent components into advanced enterprise environments like Salesforce AgentForce and ServiceNow AI Agent Fabric.
Responsibilities:
End-to-End Development: Design, build, and maintain scalable backend services and APIs using the latest version of .NET and ASP.NET Core. Cloud-Native Architecture: Architect and implement solutions on Microsoft Azure, utilizing services like Azure App Service, Azure Functions, and Azure OpenAI Service. AI Integration: Collaborate with AI specialists to integrate intelligent features and deploy components within specialized AI agent frameworks. Accelerated Development: Leverage MS CoPilot and other AI-assisted tools to boost productivity, write cleaner code, and innovate faster. Quality and Collaboration: Champion best practices in code quality, testing, and CI/CD, while working within a collaborative, agile team environment.Requirements:
Strong professional experience as a Full-Stack Engineer with expertise in C#, .NET, and ASP.NET Core. Hands-on experience building and deploying applications on Microsoft Azure. Solid understanding of database design and development with both SQL (e.g., Azure SQL, SQL Server) and NoSQL databases. Proficiency with version control (Git) and CI/CD principles (Azure DevOps, GitHub Actions). Experience in frontend development using React, TypeScript, HTML5, and CSS3. Knowledge of microservices architecture and containerization technologies (Docker, Kubernetes). Excellent problem-solving skills and the ability to work effectively in a fast-paced, agile environment.Would be a plus:
Hands-on experience using AI development tools like MS CoPilot in a professional capacity. Familiarity with the Agent AI approach, including concepts of autonomous agents and large language model (LLM) integration. Previous experience developing/working with MCP (Model Context Protocol) applications. Experience deploying or integrating applications within Salesforce (e.g., AgentForce, Lightning Web Components) or ServiceNow (e.g., AI Agent Fabric) environments.We offer*:
Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits*not applicable for freelancers