Senior AI Data Engineer || Fulltime/Permanent

Hybrid in New York, NY, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI Data Engineer
  • Python
  • Agentic AI
  • LLM
  • RAG
  • AWS
  • Azure
  • GCP
  • Docker
  • Kubernetes
  • Data Engineer
  • AI
  • API's

Summary

Role: Senior AI Data Engineer

Location: NYC, NY - Hybrid

Job Type: Fulltime/Permanent

Responsibilities-

  • 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.

Required 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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119106
  • Position Id: 9059997
  • Posted 10 hours ago
Contact the job poster
AS

Alex Syed Jordan

Recruiter @ New York Technology Partners
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