Full Stack Developer

Full Stack Developer Position Responsibilities MUST BE LOCAL TO DC AREA
MID LEVEL
5-8 YEARS
2-4 DAYS ON SITE
Developer (Full Stack – Python, .NET, Angular/React, Azure)
We are seeking a skilled  Full Stack Developer  with a strong foundation in  Python  for backend development, experience with  .NET/C# ,  and proficiency in  front-end frameworks like Angular or React . You will collaborate closely with data scientists and solution architects to build robust APIs, user interfaces, and automation solutions that leverage  Large Language Models (LLMs)  and  Retrieval-Augmented Generation (RAG) techniques. This role will also involve working with  Azure-based services ,  including  Azure SQL , to build scalable, secure, and data-driven applications.
Responsibilities :

• Write clean, maintainable, and efficient code using Python, C#, and JavaScript/TypeScript.
• Design and develop back-end services and APIs using Python (Flask/FastAPI) and .NET Core/C#.
• Build responsive and dynamic front-end interfaces using Angular or React.
• Integrate LLM and RAG-based models into intelligent automation solutions.
• Work with Azure SQL and other cloud data services for data storage and retrieval.
• Ensure implementation of best practices in security, performance, and data protection.
• Collaborate with cross-functional teams to identify, design, and implement new features.
• Participate in peer code reviews, sprint planning, and other Agile ceremonies.
• Stay current with evolving technologies and propose adoption of relevant tools and frameworks.

Qualifications :

• Proven experience as a Python Developer with strong proficiency in Flask, FastAPI, or Django.
• Experience building APIs and backend services using .NET Core/C#.
• Strong front-end development skills using Angular or React.
• Solid understanding of relational databases; hands-on experience with Azure SQL, SQL Server, or PostgreSQL.
• Familiarity with Azure cloud services including App Services, Azure Functions, Key Vault, and Azure DevOps.
• Experience integrating and deploying ML models in production environments.
• Understanding of software development best practices, including testing, CI/CD, and version control (Git).
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.
• Experience working in Agile or SAFe Scrum development environments.