Job Description
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)...
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)...
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