Senior .Net Full Stack Developer - AI Applications (C#, .NET,Angular )

Position -

Job Summary:

We are seeking a highly experienced and innovative Senior .NET Full Stack Developer to lead the development of AI-driven applications. This role involves designing and building scalable, cloud-native solutions that integrate advanced AI capabilities. The ideal candidate will have strong expertise in both front-end and back-end development, cloud platforms (preferably GCP), and a passion for creating intelligent, data-driven user experiences.

Key Responsibilities:

• Lead the design and development of full-stack AI applications using .NET technologies.
• Build intuitive and responsive UIs using Angular and ExtJs for AI-powered features.
• Develop robust backend services and APIs to support AI models and data pipelines.
• Collaborate with Data Scientists and AI Engineers to integrate ML models into applications.
• Architect and implement microservices and cloud-native solutions on GCP or Azure.
• Ensure performance, scalability, and security of AI applications.
• Drive DevOps practices including CI/CD pipelines, containerization, and automated testing.
• Mentor junior developers and contribute to technical leadership and code quality.
• Stay current with emerging AI technologies and development frameworks.

Primary Skills (Must Have):

• Strong proficiency in C#, .NET Core, and ASP.NET MVC/Web API.
• Hands-on experience with Angular and ExtJs for modern web development.
• Expertise in SQL Server and data modeling.
• Experience with RESTful APIs, microservices architecture, and event-driven systems.
• Familiarity with AI/ML integration in applications (e.g., model serving, inference pipelines).
• Proficient in GCP (preferred) or Azure for cloud-native development.
• Strong DevOps skills: CI/CD, Docker, Kubernetes, Git, and IaC tools.
• Unit testing frameworks: XUnit/NUnit, mocking libraries.

Secondary Skills (Good to Have):

• Experience with GCP services: GKE, Apigee, BigQuery, Vertex AI, Spanner.
• Exposure to AI/ML lifecycle tools: MLFlow, TensorFlow Serving, etc.
• Knowledge of PowerBI or other data visualization tools.
• Agile methodologies (Scrum), Jira, Confluence.

Qualifications:

• Education: Bachelors or Masters in Computer Science, Information Technology, or related field.
• Experience: Minimum 5+ years in .NET Full Stack development, with at least 2 years in AI application projects.
• Certifications: GCP Developer, Azure Developer, or AI/ML-related certifications preferred.
• Soft Skills: Strong analytical thinking, excellent communication, leadership, and collaboration skills.

Employee Type: