- Develop and maintain robust Python scripts to interact with Azure OpenAI APIs. Evaluate, select, and fine tune Azure OpenAI models based on project needs.

- Design and implement AI solutions for multiple NLP tasks including text generation, summarization, and sentiment analysis.

- Build, implement, and optimize RAG (Retrieval Augmented Generation) architectures to enhance contextual accuracy.

- Develop Agentic AI solutions, including autonomous workflows, tool integrations, and multi-step reasoning agents.

- Deploy, monitor, and optimize AI models in production. Stay updated with advancements in AI, LLMs, RAG, and agent centric architectures.

- Utilize industry standard frameworks and tools to improve efficiency. Ensure scalability and performance of AI applications.

- Strong proficiency in Python programming and experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers).

- Hands on experience with Azure OpenAI models and APIs.

- Experience building Agentic AI systems or autonomous task agents. Good understanding of MLOps, version control, and CI/CD pipelines. Familiarity with prompt engineering, data preprocessing, and model optimization