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AI Data Engineer

Job in Plano, Collin County, Texas, 75086, USA
Listing for: Jobs via Dice
Full Time position
Listed on 2026-03-04
Job specializations:
  • Software Development
    AI Engineer, Data Engineer, Python, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

AI Data Engineer (Python & React) Long Term Contract Remote

We are looking for an AI Data Engineer to build and scale data systems that power AI-driven and agent-based applications
. This role focuses on data pipelines, Python backend services, and React frontends
, with hands‑on experience using Airflow
, integrating AI orchestration frameworks such as Lang Graph
, and supporting event‑driven workflows
.

Key Responsibilities
  • Design, build, and maintain data pipelines using tools such as Airflow
  • Develop backend services and APIs using Python
  • Implement and manage event-driven workflows for data and AI processes
  • Integrate AI orchestration frameworks (e.g., Lang Graph) into production systems
  • Build and maintain React-based user interfaces for AI and data features
  • Integrate frontend applications with backend and data services
  • Ensure data quality, reliability, and performance across pipelines
  • Collaborate with cross-functional teams to deliver scalable AI solutions
  • Monitor, troubleshoot, and optimize production workflows
Required Qualifications
  • Strong experience with Python for data engineering and backend development
  • Proficiency in React and modern JavaScript (ES6+)
  • Solid understanding of data engineering fundamentals (ETL, pipelines, data modeling)
  • Hands‑on experience with Airflow for workflow orchestration
  • Experience designing and working with event-driven architectures and workflows
  • Experience with AI application frameworks such as Lang Graph, Lang Chain, or similar tools
  • Experience building and consuming REST APIs
  • Proficiency with SQL and/or No

    SQL databases
  • Experience using Git and collaborative development workflows
Nice to Have
  • Experience with vector databases or semantic search systems
  • Exposure to LLM-based application development
  • Experience with Docker or containerized environments
  • Familiarity with data monitoring and observability tools
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