- Develop, integrate, and deploy AI/GenAI applications using Python.
- Hands-on experience with LLMs, RAG pipelines, prompt engineering, and AI agents.
- Experience with LangChain/LangGraph, vector databases, and REST APIs.
- Build scalable backend services and integrate AI models with enterprise applications.
- Perform testing, debugging, optimization, and production support.
Job description provided by Radcube.
View the original posting
