- 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 (Secunderabad)
🏢 People Prime Worldwide
📍 Secunderabad
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