AI Data Engineer
Reuben Cooley, Inc.
AI Data EngineerLocation: NYC, NY - HybridTotal Experience: 9+ YearsRequired 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 GCP.Experience with Docker and Kubernetes.
Vacancy posted 2 days ago
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