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# Senior AI Engineer

- **Company:** Rex Moore Group
- **Location:** Sacramento, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000 - $200,000
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Systems, Python (Programming Language), Open Source Technology, Infrastructure Automation Frameworks, Data Management, Virtual Agents, Webhooks
- **Published:** November 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=ced62956f47c4a66

## About the Role

* At least 5 years building automations, integrations or software, with code you have shipped to production that people use
 * Python and SQL for data transformation, API calls and file processing
 * Connecting business systems through APIs, webhooks and structured data (JSON)
 * Hands-on AI experience beyond a chat window: building agents, MCP connections or AI workflows, and setting up enterprise AI tools for other people
 * A track record of owning automations from discovery through improvement, used by hundreds of people or across multiple departments
 * The ability to explain your work clearly to a foreman, an estimator and an executive

Preferred

 * Background in software, solutions or forward deployed engineering
 * Fine-tuning or self-hosting open models, or training small task-specific models
 * Experience with AI governance, responsible use and data-handling practices
 * Experience across more than one vendor ecosystem, including open source, and ERP/CRM integration
 * Construction, trades or project-based industry experience

## Description

* In 90 days, you have set up our AI and automation foundation (model routing, a workflow automation platform, and enterprise AI tool settings and user groups) and taken over our existing automations.
 * In six months, our AI architecture is documented and in use: which tools and models handle what, how data moves between them, and who has access. Our AI usage policies are in place with IT.
 * In one year, multiple departments rely on your work, you can show hours of manual work saved each month, and your recommendations are shaping where we invest in AI next., * Foundation: In partnership with IT, set up our enterprise AI and automation platform, including model routing, workflow automation, and enterprise AI tool settings, user groups and access
 * Discover: Embed with teams like estimating, prefabrication and field operations, map how work gets done, and find where automation saves the most time
 * Build: Deliver automations and AI tools from pilot to production, including AI agents, sub-agents, agent skills and MCP connections that work safely with our internal data. Examples: a bid analysis tool that shows which jobs performed well and why, and a Rex Moore AI assistant that answers questions from our own documents and data
 * Integrate: Connect business systems, including our new ERP and CRM, using APIs, webhooks, workflow automation platforms and Python, and keep data clean at the source
 * Run and improve: Monitor, troubleshoot and measure what you launch, and turn one-off fixes into reusable tools
 * AI tools: Manage connectors, skills and shared prompt libraries; track usage, cost and quality; and set best practices for safe, effective use
 * Governance: Partner with IT and compliance to set and maintain our AI usage policies: what data can be used with which tools, how new tools and models are approved, and how use is monitored
 * Enablement: Train and support department champions so AI use spreads beyond early adopters, and mentor IT staff moving into engineering roles
 * Direction: Evaluate new AI tools and models, including custom or self-hosted models where outside AI is restricted, and recommend what to adopt, expand or retire based on results