AI & LLM Integration
Design and implement LLM-based workflows, including RAG (Retrieval-Augmented Generation) pipelines.
Build agentic orchestration frameworks using tools such as LangChain, LangGraph, CrewAI, or similar.
Integrate vector databases and embeddings for semantic search and AI-driven applications.
Data Engineering & Pipelines
Design, develop, and maintain scalable, reliable data pipelines using Python and Azure services.
Implement ETL/ELT workflows for structured and unstructured data.
Optimize data ingestion, transformation, and storage for performance and cost efficiency.
Cloud & Deployment
Deploy data and AI solutions using cloud-native architectures on Azure (preferred) or AWS/GCP.
Containerize applications using Docker and orchestrate using Kubernetes.
Implement CI/CD pipelines for automated build, test, and deployment.
📌 Ai Data Engineer Bengaluru
🏢 People Prime Worldwide
📍 Bengaluru
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