Generative AI Engineer

Key Responsibilities:

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

Technical Acumen:

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