Job Description
Job Description:
Key Responsibilities:
1. Design, develop, and deploy state-of-the-art generative AI models and agentic AI solutions for complex enterprise tasks.
2. Implement LLM workflows, including pretraining, fine-tuning, and RAG-based pipelines, to enhance content generation and information retrieval.
3. Build and manage customizable AI agents using frameworks like LangGraph & CrewAI.
4. Apply prompt engineering and Model Context Protocol (MCP) to optimize AI performance and integration into applications.
5. Deliver rapid PoCs and scale them into production-grade solutions across Azure, AWS, and Databricks.
6. Monitor and refine AI model and agent performance, experimenting with prompts, retrieval strategies, and model configurations.
7. Collaborate with cross-functional teams to integrate AI capabilities into products and business processes while adhering to responsible AI practices.
Mandatory S...
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