AI Data Engineer

Remote in Plano, TX, US • Posted 8 days ago • Updated 8 days ago
Contract Corp To Corp
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • LangChain
  • Python
  • React.js
  • Vector Databases
  • LangGraph
  • Data Modeling
  • Extract
  • Transform
  • Load
  • JavaScript
  • react

Summary

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 LangGraph, 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., LangGraph) 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 LangGraph, LangChain, or similar tools
  • Experience building and consuming REST APIs
  • Proficiency with SQL and/or NoSQL 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

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: infotx
  • Position Id: 8894311
  • Posted 8 days ago
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