Sr. Full Stack Developer: AI & Cloud

Job Description

Sr. Full Stack Developer AI & Cloud Experience Range: 5–8 Years Location: Noida Job Summary We are looking for a Senior Full-Stack Developer to join our Architecture Practice. This role involves designing and developing AI-powered applications using Python, .NET Core, Angular, and Azure. You will be at the forefront of building scalable, cloud-native systems and integrating advanced AI models into modern web applications. You'll also leverage tools like GitHub Copilot , Azure Foundry , and agentic frameworks to accelerate delivery. This is a hands-on role that blends full-stack development with AI innovation , including agentic AI, AI-assisted software development lifecycle (SDLC), and other emerging technologies. Key Responsibilities Full-Stack Development Build scalable backend services using Python and .NET Core (Web APIs, Entity Framework). Develop responsive frontend applications using Angular (13+) and Streamlit for rapid AI tool prototyping. Integrate AI/ML and LLM models into end-to-end application workflows. AI-Driven SDLC Use AI coding assistants like GitHub Copilot or CodeWhisperer to boost development productivity. Automate testing, code analysis, and deployment with CI/CD pipelines and AI tools. Cloud Deployment Deploy and manage applications on Azure (App Services, Functions, Azure SQL, AI Studio). Implement microservices and event-driven architectures in collaboration with solution architects. Collaboration & Leadership Mentor junior developers in AI/ML integration and modern software engineering practices. Contribute to architectural planning and overall technical strategy. Required Skills & Qualifications Mandatory 5+ years of full-stack development using Python and .NET Core . 3+ years of frontend development with Angular , TypeScript , and RxJS . Experience integrating AI/ML models (e.g., scikit-learn, PyTorch) into production systems. Hands-on with Azure services: App Services, Functions, Azure SQL. Preferred Familiarity with GitHub Copilot or CodeWhisperer . Experience using Streamlit for AI/ML UI prototyping. Exposure to Azure Machine Learning , LLM fine-tuning (e.g., GPT, Claude). DevOps skills including CI/CD , Docker , and Infrastructure as Code (IaC) . Education & Experience Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 5–8 years of hands-on software development experience, including at least 2 years on AI/ML projects. A portfolio or GitHub demonstrating full-stack and AI/ML projects (preferred).