Responsibilities :
Design, develop, and deploy enterprise-grade Generative AI solutions.
Build end-to-end AI applications covering data ingestion, retrieval, generation, and evaluation.
Architect and implement LLM-powered applications using modern AI frameworks and tools.
Develop Agentic AI solutions leveraging frameworks such as CrewAI, LangChain, LangGraph, LlamaIndex, AutoGen, and Langfuse.
Design and optimize RAG pipelines for enterprise knowledge retrieval and reasoning.
Fine-tune foundation models using instruction tuning and supervised fine-tuning techniques.
Evaluate model performance and implement model engineering best practices.
Deploy and manage AI workloads in cloud environments (Azure, AWS, or GCP).
Containerize and operationalize AI applications using Docker and Kubernetes.
Collaborate with architects, data engineers, and product teams to deliver scalable AI solutions.
Contribute to innovation initiatives, accelerators, and technology communities.
Additional Responsibilities:
Technology-AI-Data science-PYTHON,Technology-AI-Generative AI-Generative AI - Basic,Technology-Artificial Intelligence-Artificial Intelligence - ALL,Technology-OpenSystem-Python - OpenSystem-Python
