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AI Data Engineer

QUANTUM TECHNOLOGIES LLCNew York, NY🇺🇸United StatesPosted 10 Aug 2026

Quick Overview

Salary
$87/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: AI Data Engineer

Location: Hybrid

Duration: 10 Months (High Possibility of Extension)

Bill Rate: $87/hr

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization:

USC

GC

H1B

OPT-EAD

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.
  • 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.

    Equal opportunity Employer :We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

Skills

Docker
AWS
ETL
Azure
Google Cloud
Kubernetes
LLM
Python

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