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Thrive Aviation

AI Data Engineer

Thrive Aviation Henderson, Nevada, United States

Airlines and Aviation · 201-500 employees

2 h ago
data-engineer Mid (2-5 yrs) Full-time United States
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About the role

The AI Data Engineer will build, deploy, and maintain AI agents, intelligent automation, and enterprise integrations. They will also develop data pipelines and cloud infrastructure while collaborating with leadership to translate business requirements into scalable AI solutions.

What they look for

Python SQL REST APIs Azure LLMs AI Agents RAG LangChain LangGraph MCP Data Pipelines Cloud Infrastructure Enterprise Integration Automation Orchestration Frameworks

Requirements

Candidates must have 2–5 years of experience in software engineering, AI development, or data engineering. Proficiency in Python, SQL, Azure, and experience with LLMs and AI orchestration frameworks are required.

Full description

Description

Thrive Aviation is seeking an AI Data Engineer to develop, deploy, and maintain AI agents, intelligent automation, and enterprise integrations. This hands-on role will execute defined technology initiatives in close collaboration with leadership, translating business requirements into reliable, scalable AI solutions.

Key Responsibilities

  • Build and deploy AI agents, multi-agent workflows, and intelligent automation.
  • Develop integrations connecting AI solutions with enterprise applications, APIs, and databases.
  • Implement LLM-based solutions using RAG, tool calling, and agent orchestration frameworks.
  • Develop and maintain supporting data pipelines and cloud infrastructure.
  • Execute leadership-prioritized projects against agreed milestones and technical requirements.
  • Document solutions, monitor performance, and continuously improve deployed applications.

Requirements

Qualifications

  • 2–5 years of experience in software engineering, AI development, or data engineering.
  • Strong proficiency in Python, SQL, REST APIs, and Azure cloud technologies.
  • Hands-on experience with LLMs, AI agents, RAG, and orchestration frameworks.
  • Familiarity with MCP, LangChain, LangGraph, or comparable AI development frameworks.
  • Experience integrating enterprise systems and deploying production applications.
  • Strong execution, communication, and cross-functional collaboration skills.

Success in this role requires strong technical execution, disciplined project management, transparent communication, and the ability to deliver within a leadership-defined technology strategy and prioritized development roadmap.

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