Generative AI Engineer (Hyderabad)

Generative AI Engineer (Hyderabad)

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, cleaning, transformation, etc.
Should be familiar with Agents, RAG (retrieval augmented generation), COT prompting techniques, etc
Solid analytical skills to troubleshoot and solve complex problems that arise in AI application development.
Must be proficient with building prototypes with Streamlit, radio etc
Must have solid foundational knowledge about RAG/GenAI apps and experience building GenAI apps or agent projects in the past (even personal projects for learning would do)

📌 Generative AI Engineer (Hyderabad)
🏢 AI Planet
📍 Hyderabad