Sr. Full Stack Developer – AI & Cloud

Job Summary

We are seeking a Senior Full-Stack Developer to join our Architecture Practice at Xceedance. In

this role, you will design and develop AI-powered applications using Python, .NET Core, Angular,

and Azure. You will work on integrating AI models, building scalable cloud-native systems, and

leveraging tools like GitHub Copilot, Azure Foundry, Agentic frameworks to accelerate

development.

This is a hands-on role at the intersection of full-stack engineering and AI innovation, including

agentic AI, AI-assisted 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 Stream lit 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 Code Whisperer to enhance development speed and code quality.
• Automate testing, code analysis, and deployment using 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 on AI/ML integration and modern development practices.
• Contribute to architectural decisions and technical strategy.

Required Skills & Qualifications

• 5-8 years of experience in web-based application development.

Mandatory

• 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 (e.g., scikit-learn, PyTorch) into production applications.
• Proficiency in Azure cloud services (App Services, Functions, Azure SQL).

Preferred

• Experience with AI coding tools like GitHub Copilot or CodeWhisperer.
• Familiarity with Streamlit for AI/ML UI prototyping.
• Knowledge of Azure Machine Learning, LLM fine-tuning (e.g., GPT, Claude).
• DevOps skills: CI/CD, Docker, Infrastructure as Code (IaC).

Education and Experience

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent
• practical experience).
• 5–8 years of hands-on development experience, including 2+ years in AI/ML projects.
• Portfolio or GitHub showcasing work in Python, .NET, Angular, and AI/ML (preferred).