Key Responsibilities: Key Responsibilities:

1. Build AI-powered applications leveraging Large Language Models (LLMs), Generative AI, and related technologies.

2. Design, develop, and optimize AI Agents and multi-agent workflows for complex business use cases.

3. Develop and implement Retrieval-Augmented Generation (RAG) systems to enhance AI accuracy and contextual understanding.

4. Work with MCP and AI orchestration frameworks to manage workflows, tools, and agent interactions.

5. Integrate AI solutions with APIs, databases, cloud services, and enterprise platforms.

6. Develop backend APIs and support frontend integrations for AI-driven products and applications.

7. Deploy, monitor, and maintain AI/ML models in production environments to ensure performance and reliability.

8. Conduct research and experimentation with emerging AI frameworks, tools, and technologies.

9. Optimize AI systems for scalability, security, efficiency, and cost-effectiveness.

10. Collaborate closely with product, engineering, and business teams to design and deliver innovative AI solutions.

11. Troubleshoot, test, and continuously improve AI applications based on user feedback and performance metrics.