Employment Type:

Full-Time

Job Summary:

We are seeking a talented Full Stack .NET Developer with experience in modern web application development and AI-powered solutions. The ideal candidate will have strong expertise in .NET Core, C#, frontend frameworks, cloud technologies, microservices, and AI integrations. This role involves developing scalable enterprise applications, integrating Generative AI capabilities, and collaborating with cross-functional teams to deliver innovative digital solutions.

Key Responsibilities:

- Design, develop, test, and maintain full-stack applications using .NET technologies.

- Build responsive, scalable, and user-friendly web applications using modern frontend frameworks.

- Develop and consume RESTful APIs and microservices for enterprise applications.

- Integrate AI/ML models, Generative AI solutions, and intelligent automation features into business applications.

- Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, and similar AI platforms.

- Develop AI-powered capabilities including chatbots, document processing, content generation, recommendation engines, and predictive analytics.

- Design and implement AI agents and workflow automation solutions.

- Collaborate with business stakeholders, solution architects, data scientists, and development teams to deliver end-to-end solutions.

- Optimize application performance, scalability, reliability, and security.

- Participate in code reviews and ensure adherence to development standards and best practices.

- Develop and execute unit tests, integration tests, and support quality assurance activities.

- Troubleshoot application issues and implement performance improvements.

- Manage source code repositories and contribute to CI/CD pipelines.

- Support production deployments, monitoring, and issue resolution.

- Follow Agile and Scrum methodologies throughout the software development lifecycle.

- Create and maintain technical documentation, design specifications, and operational guides.

- Ensure compliance with security standards and secure coding practices.

- Stay updated with emerging technologies in AI, cloud computing, and software engineering.

Required Skillsets:

- Strong hands-on experience with .NET Framework, .NET Core, and .NET 6+.

- Proficiency in C# programming and backend application development.

- Experience with frontend frameworks such as Angular, React, or Vue.js.

- Strong understanding of REST APIs and microservices architecture.

- Experience working with MS SQL Server, PostgreSQL, or similar relational databases.

- Knowledge of ORM technologies such as Entity Framework and LINQ.

- Understanding of NoSQL and Graph database concepts.

- Hands-on experience integrating AI/ML solutions into enterprise applications.

- Experience working with Large Language Models (LLMs) and Generative AI technologies.

- Knowledge of AI agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar tools.

- Experience with Azure or AWS cloud platforms.

- Understanding of cloud-native application development principles.

- Knowledge of authentication, authorization, and application security concepts.

- Experience with Git, version control, branching strategies, and repository management.

- Familiarity with CI/CD pipelines and DevOps best practices.

- Strong understanding of SOLID principles, design patterns, and software engineering best practices.

- Experience with unit testing frameworks such as NUnit, xUnit, or Playwright.

- Strong debugging, troubleshooting, and performance optimization skills.

- Knowledge of OWASP security guidelines and secure coding standards.

- Excellent analytical, communication, and problem-solving skills.

Preferred Skillsets:

- Experience with Docker containerization.

- Knowledge of Kubernetes orchestration platforms.

- Exposure to serverless technologies such as AWS Lambda or Azure Functions.

- Familiarity with monitoring and observability tools including CloudWatch, Azure Application Insights, Grafana, or similar platforms.

- Experience leveraging AI-powered development and productivity tools.

- Knowledge of machine learning concepts and model deployment processes.

- Experience working in Agile/Scrum environments using tools such as Jira.

- Understanding of event-driven architectures and distributed systems.

- Exposure to enterprise-scale cloud solutions and modernization initiatives.

Preferred Qualifications:

- Bachelors degree in Computer Science, Information Technology, Engineering, or a related field.

- AWS or Azure Associate/Professional Certifications.

- Relevant certifications in .NET, Cloud, AI, or Software Development technologies.

- Experience working on enterprise-grade digital transformation and AI-driven application projects.