AI Data Engineer

Required Qualifications

• Strong experience in  Python application development . 
• Strong background in  data engineering, data analytics, BI, or data application development . 
• Experience with cloud platforms and  Kubernetes-based application/pipeline deployment . 
• Strong hands-on experience building  production-grade data pipelines . 
• Strong understanding of data architecture, data processing, ETL/ELT, and data integration.
• Experience working with databases, data warehouses, and/or modern data platforms.
• Experience building  data-facing applications or applications that interact directly with data and analytics platforms. 
• Hands-on experience developing  LLM-powered applications . 
• Understanding of  AI agent/harness engineering patterns and LLM application architecture. 
• Experience working with APIs, databases, data platforms, and enterprise data sources.  
• Cloud development experience with  Kubernetes-based deployment . 
• Strong software engineering fundamentals including Git, testing, CI/CD, and production deployment.
• Demonstrated ability to work independently and take ownership from requirements through delivery.
• Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience with agentic AI, LLM orchestration, RAG, or tool-using agents.
• Experience with frameworks such as  LangChain, LangGraph, LlamaIndex , or similar technologies. 
• Experience with vector databases and retrieval pipelines.
• Experience integrating LLMs with enterprise data platforms.
• Experience building dashboards, analytics applications, self-service data applications, or other data-centric user experiences.
• Experience with AWS, Azure, or Google Cloud Platform.
• Experience with Docker and Kubernetes.