Dot Net Developer

Role & responsibilities

• Design, develop, and maintain full-stack applications using .NET, C#, React, and Python.
• Build backend services and REST APIs using ASP.NET Core and Python frameworks such as FastAPI, Flask, or Django.
• Develop responsive frontend applications using React, JavaScript/TypeScript, HTML, and CSS.
• Design, build, and deploy custom AI tools and intelligent applications based on business requirements.
• Develop AI-powered solutions using LLMs, machine learning models, and relevant AI frameworks.
• Build, customize, fine-tune, and deploy AI models wherever required, rather than relying solely on third-party API integrations.
• Develop AI agents, automation tools, and intelligent workflows to solve real-world business problems.
• Work with Python-based AI/ML libraries such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Implement RAG pipelines, embeddings, vector databases, and semantic search for AI-powered applications.
• Integrate AI capabilities with .NET and React applications while ensuring security, scalability, and performance.
• Design and optimize databases, APIs, and backend services using SQL Server and other relevant technologies.
• Perform unit testing, debugging, code reviews, and performance optimization.
• Collaborate with product, engineering, and DevOps teams to deliver production-ready AI-enabled applications.
• Use Git, CI/CD pipelines, Docker, and cloud platforms such as Microsoft Azure for deployment and maintenance.

Preferred candidate profile

• Experience building AI tools or products from the ground up, including custom AI workflows and model-based solutions.
• Experience training or fine-tuning LLMs, Small Language Models (SLMs), or domain-specific models.
• Knowledge of PyTorch, TensorFlow, Hugging Face, Azure AI services, and Azure Machine Learning.
• Experience with Docker, Kubernetes, microservices, and production-grade AI deployments.
• Strong problem-solving, analytical, communication, and collaboration skills.