Generative AI Engineer

Key Responsibilities:

• Build reliable GenAI or LLM-powered applications end to end.
• Manage data ingestion and maintain database integrity
• Building agents from scratch and understanding of Multi-Agent architecture is a must.
• Design and develop GenAI use cases across financial services, healthcare, and education Implement Retrieval-Augmented Generation (RAG) techniques for enhanced LLM responses.
• Ensure best practices of prompt engineering, performance monitoring, evaluation of LLM responses, etc
• Work with cross-functional teams for cohesive GenAI solutions.
• Keep abreast of the latest advancements in LLMs and Agentic AI.

Technical Acumen:

• Must have strong programming skills, particularly in Python.
• Knowledge of LLM frameworks such as Langchain, LlamaIndex, OpenAGI, CrewAI, and AutoGen.
• Knowledge of Data Engineering Practices: Skills in data preprocessing, cleani...