Gen AI Engineer

Strong hands-on experience in Python API Development using FastAPI or Flask Data Processing and AI-Enabled Workflows using Python Large Language Models (LLMs) Prompt Engineering and Hybrid Prompting Techniques Retrieval-Augmented Generation (RAG) Architecture Agentic AI Generative AI Frameworks and Tools: LangChain, Hugging Face, LlamaIndex Good-to-Have Skills: Experience with Gemini LLM Machine Learning Frameworks: PyTorch, TensorFlow, Keras Natural Language Processing (NLP) Model Deployment and Containerization using Docker Version Control Systems such as Git AI Compliance, Data Privacy, and Responsible AI Principles Roles and Responsibilities: Develop and maintain AI workflows Implement prompt engineering techniques Deploy and maintain AI models across development, testing, and production environments Perform code reviews, testing, and technical documentation Continuously learn and apply advancements in Generative AI

Education: Bachelor’s Degree in Computer Science.