Key Responsibilities

• Design and architect end-to-end solutions incorporating Generative AI features into modern applications.
• Develop and implement applications using .NET Framework and Python (AI/ML libraries).
• Lead technical design discussions and provide architectural guidance to development teams.
• Integrate large language models (LLMs) and AI services into enterprise workflows.
• Ensure scalability, performance, and security of AI-enabled applications.
• Collaborate with cross-functional teams including product managers, data scientists, and engineers.
• Evaluate and recommend tools, frameworks, and best practices for AI solution development.
• Provide hands-on development and code reviews to maintain high-quality standards.

Required Skills & Qualifications

• Strong proficiency in .NET Framework / .NET Core and Python.
• Experience with AI/ML and Generative AI libraries (e.g., NLP, LLM integrations, prompt engineering).
• Solid understanding of software architecture, design patterns, and system design.
• Hands-on experience building AI-powered applications in production environments.
• Experience with APIs, microservices architecture, and cloud platforms (Azure/AWS/GCP preferred).
• Strong problem-solving and analytical skills.