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# AI Builder / Data Engineer

- **Company:** Bud Clary Auto
- **Location:** Longview, WA, United States
- **Salary:** $65,000.0 - $85,010.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Business Systems, Databases, Information Engineering, Relational Databases, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Windows PowerShell, Standard Sql, Azure Machine Learning, Software Engineering, Systems Integration, Scripting, Application Enhancement Tool, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Tools for Reporting, Virtual Agents, Data Pipelines, Programming Languages
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3bc50620204eff95

## About the Role

High school diploma or equivalent required.
Education or experience in a related technical field preferred, not required.
Strong interest in AI, software development, automation, and data engineering.
Knowledge of SQL and relational databases.
Experience with Python, JavaScript, or another modern programming language.
Strong analytical and problem-solving skills.
Excellent communication and desire to learn.
Self-motivated individual who enjoys building solutions and continuously improving processes.
Ability to work independently and as part of a team

Bonus Experience

Generative AI and LLM platforms
Azure AI services
Prompt engineering and AI agent development
Dashboarding and reporting tools
React or modern web development frameworks
CRM, ERP, or Dealership Management Systems

## Description

Build AI-powered tools, applications, and automations that solve business problems.
Work with dealership data from databases, APIs, CRM, DMS, and other business systems.
Develop data pipelines, integrations, and reporting solutions.
Create dashboards, analytics, and operational insights for business users.
Build and support AI agents, workflows, and business process automations.
Collaborate with stakeholders to turn ideas into practical solutions.
Evaluate emerging AI technologies and recommend improvements.

Some Technologies You Will Work With

Microsoft SQL Server and PostgreSQL
Azure services and cloud platforms
Python and PowerShell, other scripting languages
APIs and integrations
Internal and commercial LLM platforms
Workflow automation tools and business intelligence solutions