Key Responsibilities

AI & Intelligent Application Development

• Design and develop AI-powered enterprise applications using modern AI frameworks and services.
• Build and integrate AI agents and autonomous workflows to automate business processes.
• Implement Generative AI solutions, including chat interfaces, copilots, and intelligent assistants.
• Develop Retrieval Augmented Generation (RAG) solutions leveraging enterprise data sources.
• Integrate LLM services and AI APIs into enterprise platforms.

Full Stack Development

• Design and develop scalable backend services using .NET Core / .NET 6+.
• Build and maintain RESTful APIs and microservices architectures.
• Develop modern, responsive web applications using Angular.
• Integrate frontend applications with AI-driven services and APIs.

Cloud & Platform Engineering

• Develop and deploy cloud-native solutions on AWS.
• Utilize AWS services such as Lambda, API Gateway, S3, DynamoDB/RDS, ECS/EKS, and AI services (Bedrock/OpenAI integrations).
• Implement CI/CD pipelines and DevOps best practices.
• Ensure application scalability, performance, and security.

Architecture & Integration

• Design API-driven architectures and microservices ecosystems.
• Integrate AI capabilities with enterprise systems, databases, and third-party platforms.
• Implement secure authentication and authorization mechanisms.
• Contribute to technical design, architecture decisions, and solution delivery.

Required Skills & Experience

• 8+ years of experience in full stack application development.
• Strong backend development experience with C#, .NET Core / .NET 6+.
• Frontend development expertise using Angular.
• Hands-on experience with AWS cloud platform and cloud-native architectures.
• Experience building REST APIs and microservices.
• Experience integrating AI/ML or Generative AI capabilities into applications.
• Strong understanding of API design, authentication, and scalable application architecture.