Sr. Full Stack Developer AI & Cloud

You are a Senior Full-Stack Developer at Xceedance's Architecture Practice. Your responsibilities include designing and developing AI-powered applications using Python, .NET Core, Angular, and Azure. Your tasks involve integrating AI models, building scalable cloud-native systems, and utilizing tools like GitHub Copilot, Azure Foundry, and Agentic frameworks to expedite development. In this role, you will engage in full-stack engineering and AI innovation, focusing on agentic AI, AI-assisted SDLC, and other emerging technologies. Your key responsibilities encompass full-stack development by creating scalable backend services with Python and .NET Core, developing responsive frontend applications using Angular and Streamlit for rapid AI tool prototyping, and integrating AI/ML and LLM models into end-to-end application workflows. You will also be involved in AI-Driven SDLC by leveraging AI coding assistants like GitHub Copilot or Code Whisperer to enhance development speed and code quality, and automating testing, code analysis, and deployment using CI/CD pipelines and AI tools. Additionally, you will manage deploying applications on Azure, implementing microservices, and event-driven architectures in collaboration with solution architects. Your role includes collaborating with junior developers, mentoring them on AI/ML integration and modern development practices, and contributing to architectural decisions and technical strategy. The required skills and qualifications for this position include 5-8 years of experience in web-based application development, 5+ years of full-stack development experience with Python and .NET Core, 3+ years of frontend development using Angular, TypeScript, and RxJS, hands-on experience integrating AI/ML models into production applications, and proficiency in Azure cloud services. Preferred qualifications include experience with AI coding tools, familiarity with Streamlit for AI/ML UI prototyping, knowledge of Azure Machine Learning, LLM fine-tuning, and DevOps skills such as CI/CD, Docker, and Infrastructure as Code. The educational requirement is a Bachelor's degree in computer science, Engineering, or a related field, with 5-8 years of hands-on development experience, including 2+ years in AI/ML projects, and a portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML.,