AI Data Engineer
Ai Orchestration
Artificial Intelligence
Azure
Cloud Data Engineering
Cloud Data Platform
Cloud Engineer
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Integration Tools
Data Pipeline
Data Platform
Data Processing
Databases
ETL
Informatica
Information Technology (IT)
Integration
Llm Applications
Programming
Software Development
SQL
Job Description
Thrive Aviation is seeking an AI Data Engineer to help design and operationalize AI-driven systems that support enterprise needs. Based in Henderson, NV and working onsite, this role focuses on translating business requirements into dependable, scalable solutions while delivering leadership-prioritized initiatives.
In this position, you will build production-ready AI capabilities, including intelligent automation and agent workflows, and connect them to the enterprise applications and data sources that make them useful.
What you’ll do
- Build and deploy AI agents, multi-agent workflows, and intelligent automation.
- Develop integrations that connect 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.
What you bring
- 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.
Core technologies
- Python, SQL, REST APIs
- Azure cloud technologies
- LLMs, AI agents, RAG
- Tool calling, agent orchestration frameworks
- MCP, LangChain, LangGraph
- Data pipelines, cloud infrastructure