AI/ML Engineer
Description
Build and optimize RAG (Retrieval-Augmented Generation) pipelines
Implement document ingestion pipelines (PDF, CSV, APIs, databases)
Integrate LLMs with backend systems using APIs
Required Candidate profile
Deploy models and pipelines using cloud and container toolsMonitor chatbot performance
LLM frameworks: LangChain, LlamaIndex
Backend & APIs: FastAPI / Flask
Data handling:Pandas, NumPy