AI Data Engineer

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.