.NET full stack developer with AI

We are seeking an experienced .NET Full Stack Developer with AI experience to design, develop, and implement scalable web applications and AI-powered solutions. The ideal candidate will have strong expertise in Microsoft technologies, modern front-end frameworks, cloud platforms, and hands-on experience integrating AI/ML capabilities into enterprise applications.

Key Responsibilities

• Design, develop, test, and maintain full-stack applications using .NET technologies.
• Build responsive and user-friendly web applications using modern front-end frameworks.
• Develop and consume RESTful APIs and microservices.
• Integrate AI/ML models, Generative AI solutions, and intelligent automation features into enterprise applications.
• Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar AI platforms.
• Implement AI-powered features such as chatbots, document processing, content generation, recommendation engines, and predictive analytics.
• Collaborate with business stakeholders, architects, data scientists, and cross-functional teams.
• Optimize application performance, scalability, and security.
• Participate in code reviews, testing, deployment, and production support.
• Follow Agile/Scrum development methodologies.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• 10 years of experience in .NET application development.
• Strong experience with:
  • C#
  • NET Core
  • .NET Framework / .NET Core
  • Entity Framework
  • SQL Server
  • REST APIs
  • Microservices Architecture
• Front-end development experience with:
  • Angular, React, or Vue.js
  • HTML5, CSS3, JavaScript, TypeScript
• Experience with cloud platforms:
  • Microsoft Azure (preferred)
  • AWS or Google Cloud Platform
• Experience with CI/CD pipelines and DevOps practices.
• Strong understanding of software design patterns and best practices.

AI/Generative AI Requirements

• Hands-on experience integrating AI/ML solutions into web applications.
• Experience with:
  • Azure OpenAI Service
  • OpenAI APIs
  • Generative AI applications
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • AI Agents / Agentic AI frameworks
• Knowledge of:
  • LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
  • Machine Learning concepts and model deployment
  • AI governance, security, and responsible AI practices

Preferred Qualifications

• Experience with:
  • Azure AI Services
  • Azure Cognitive Search
  • Azure Functions
  • Docker and Kubernetes
  • Redis Cache
  • Elasticsearch
  • Event-driven architectures
• Exposure to MLOps and AI model lifecycle management.
• Microsoft Azure Certifications are a plus.